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Jul 27, 2026

Dallas, TX

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Software Engineering

|

Contract

|

$91 - $114 (hourly estimate)

{"JobID":556802,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-96.76,"Longitude":32.79,"Distance":null},"State":"Texas","Zip":"75201","ReferenceID":"DAL-c56ad913-97d5-4304-8a6f-dd64f3bf8422","PostedDate":"\/Date(1785165067000)\/","Description":"Insight Global is seeking a highly technical Principal AI Architect who can operate as both a Chief Architect and hands-on AI engineering leader. This individual will define enterprise AI strategy, establish architecture standards, build governed AI platforms and enterprise knowledge systems, drive engineering execution, and ensure AI investments deliver measurable business outcomes.Day-to-Day Responsibilities?Define and evolve the enterprise AI strategy, future-state architecture, operating model, and multi-year roadmap.?Partner with executive leadership to align AI investments to approved business outcomes, success metrics, and adoption goals.?Architect enterprise AI capabilities across: oPrivate AI platformsoCommercial AI servicesoAgent frameworksoCopilotsoWorkflow automationoEnterprise knowledge systemsoGovernance, security, observability, and cost management?Design and govern a centralized enterprise knowledge layer leveraging semantic models, metadata, taxonomies, ontologies, knowledge graphs, vector databases, and retrieval services.?Define architecture patterns for RAG, GraphRAG, hybrid retrieval, federated search, reranking, citation generation, and context orchestration.?Review architecture, code, APIs, retrieval pipelines, model integrations, evaluation frameworks, and production telemetry with engineering teams.?Build prototypes and establish reference implementations to accelerate delivery and reduce technical ambiguity.?Lead architecture reviews, technical governance processes, design standards, and enterprise AI platform adoption.?Establish AI quality, performance, observability, reliability, and cost-management metrics across models, agents, workflows, and knowledge services.?Evaluate commercial AI platforms and emerging technologies while developing build-versus-buy recommendations and platform rationalization strategies.?Define model hosting, routing, inference, access control, security, and deployment patterns across public cloud and private AI environments.?Drive evaluation frameworks covering retrieval quality, groundedness, answer relevance, agent performance, adoption, business outcomes, and platform economics.?Create executive presentations, architecture decision records, technology roadmaps, business cases, and strategy documentation.?Mentor engineers and technical leads while establishing repeatable standards, best practices, governance frameworks, playbooks, and operating procedures.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Chief AI Architect","City":"Dallas","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?10+ years of experience in Enterprise Architecture, AI Engineering, Cloud Architecture, Distributed Systems, Knowledge Systems, or AI Platform Engineering.?Proven experience designing, architecting, and delivering production-scale enterprise AI platforms, not just AI proofs of concept.?Strong hands-on technical expertise in: oPython, APIs, distributed systems, cloud-native architectures, and production engineering practicesoMicrosoft Azure AI ecosystem including Azure OpenAI, Azure AI Search, Fabric, Synapse, Azure Machine Learning, AKS, Copilot Studio, Microsoft Graph, Purview, and Entra IDoRAG, GraphRAG, hybrid retrieval, semantic search, knowledge graphs, vector databases, reranking, and context engineeringoModel serving, inference optimization, quantization, model routing, capacity planning, and private AI deploymentsoAI evaluation, observability, monitoring, telemetry, and performance measurementoAI governance, privacy, security, responsible AI, access controls, and enterprise data governance?Experience building enterprise AI architectures spanning private AI, commercial AI platforms, copilots, agent frameworks, workflow orchestration, and reusable enterprise knowledge services.?Deep understanding of enterprise semantic architecture including ontologies, taxonomies, metadata management, semantic layers, data lineage, entity resolution, business glossaries, and knowledge management.?Experience designing governed enterprise knowledge platforms leveraging structured data, unstructured content, APIs, knowledge graphs, vector indexes, and retrieval services.?Hands-on experience reviewing architecture, code, retrieval pipelines, model integrations, and production AI systems with engineering teams.?Experience establishing architecture standards, technical governance, delivery frameworks, and operating models for enterprise AI programs.?Executive-level communication skills with experience presenting AI strategy, architecture decisions, business cases, and technology roadmaps to senior leadership.","Skills":"?Master\u0027s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Engineering, Information Science, or related field.?Experience building enterprise-wide AI platforms that support multiple business functions and user populations.?Experience integrating private AI, commercial AI tools, and enterprise knowledge services through a centralized semantic architecture.?Familiarity with: oAgentic AI systems and multi-agent architecturesoMultimodal AI (vision, speech, document intelligence)oHuman-in-the-loop workflowsoReal-time and event-driven AI architecturesoFine-tuning, LoRA, QLoRA, distillation, synthetic data generation, and model adaptation techniques?Experience with AI observability and evaluation frameworks such as MLflow, Langfuse, Phoenix, OpenTelemetry, or similar platforms.?Experience with open-source AI technologies including LangGraph, LlamaIndex, Haystack, vLLM, Ray, LiteLLM, KServe, llama.cpp, Neo4j, pgvector, or comparable tools.?Experience designing GPU-enabled, hybrid-cloud, sovereign, air-gapped, or private AI environments.?Experience evaluating and rationalizing AI platforms, copilots, developer assistants, automation tools, and commercial AI products.?Background in regulated, security-sensitive, data-intensive, or asset-intensive industries.?Previous experience as a Principal Architect, Chief Architect, AI Transformation Leader, or Enterprise AI Strategy leader.","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":true,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":114.0000,"SalaryLow":91.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is seeking a highly technical Principal AI Architect who can operate as both a Chief Architect and hands-on AI engineering leader. This individual will define enterprise AI strategy,... establish architecture standards, build governed AI platforms and enterprise knowledge systems, drive engineering execution, and ensure AI investments deliver measurable business outcomes.Day-to-Day Responsibilities?Define and evolve the enterprise AI strategy, future-state architecture, operating model, and multi-year roadmap.?Partner with executive leadership to align AI investments to approved business outcomes, success metrics, and adoption goals.?Architect enterprise AI capabilities across: oPrivate AI platformsoCommercial AI servicesoAgent frameworksoCopilotsoWorkflow automationoEnterprise knowledge systemsoGovernance, security, observability, and cost management?Design and govern a centralized enterprise knowledge layer leveraging semantic models, metadata, taxonomies, ontologies, knowledge graphs, vector databases, and retrieval services.?Define architecture patterns for RAG, GraphRAG, hybrid retrieval, federated search, reranking, citation generation, and context orchestration.?Review architecture, code, APIs, retrieval pipelines, model integrations, evaluation frameworks, and production telemetry with engineering teams.?Build prototypes and establish reference implementations to accelerate delivery and reduce technical ambiguity.?Lead architecture reviews, technical governance processes, design standards, and enterprise AI platform adoption.?Establish AI quality, performance, observability, reliability, and cost-management metrics across models, agents, workflows, and knowledge services.?Evaluate commercial AI platforms and emerging technologies while developing build-versus-buy recommendations and platform rationalization strategies.?Define model hosting, routing, inference, access control, security, and deployment patterns across public cloud and private AI environments.?Drive evaluation frameworks covering retrieval quality, groundedness, answer relevance, agent performance, adoption, business outcomes, and platform economics.?Create executive presentations, architecture decision records, technology roadmaps, business cases, and strategy documentation.?Mentor engineers and technical leads while establishing repeatable standards, best practices, governance frameworks, playbooks, and operating procedures.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 23, 2026

Helton, NC

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Data Warehousing

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Contract-to-perm

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$54 - $68 (hourly estimate)

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A client of Insight Global is looking for an AI Software Engineer, you will be responsible for designing, developing, and deploying world-class Decision Intelligence and AI-enabled products for our... customers.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jul 27, 2026

West Palm Beach, FL

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Software Engineering

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Perm

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$280k - $320k (estimate)

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This individual will be the senior technical authority for complex architectural discussions, leading tradeoff decisions and elevating engineering standards across the AI organization. They will own the agentic architecture, including Bedrock, AgentCore, Strands, multi-agent orchestration, tool integration, MCP design, and AI guardrails. The role also carries responsibility for platform evaluation practices, retrieval quality, agent performance measurement, data quality standards, and trust architecture requirements such as tenant isolation, auditability, explainability, compliance, and hallucination prevention within a regulated legal services environment. Additionally, this leader will mentor senior engineers across data, graph, retrieval, and agent disciplines while partnering closely with product, security, legal, and executive leadership to shape long-term AI strategy, staffing plans, and technology investments, making recommendations across vendors and platforms such as Anthropic, AWS, OpenAI, and other emerging technologies based on scalability, cost, and regulatory considerations.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Principal AI Tech Lead","City":"West Palm Beach","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?10+ years of software engineering experience; 5+ years in technical leadership or architect roles.?Production experience leading and shipping agentic AI products end-to-end ? architecture, build, ship, operate.?Deep expertise across the AI Platform stack: agents (AgentCore, Strands, Bedrock), RAG, knowledge graphs, lakehouse, governance.?Strong harness engineering experience ? has built reusable evaluation, testing, and observability infrastructure for AI systems.?Demonstrated ability to operate at both the architectural level and the code level on complex AI systems.?Strong AWS experience across the AI-native stack: Bedrock, AgentCore, Neptune, Athena, Redshift, Lake Formation, DMS, Aurora.?Experience leading the technical direction of an AI team through influence ? architecture, code, and design rigor ? without relying on direct people-management authority.?Strong, articulate understanding of the differences between leading software teams and leading AI teams: eval-driven over test-driven, probabilistic systems, model selection economics, faster iteration cycles, and the tight coupling between data quality and model quality.?Production experience in multi-tenant SaaS at scale.?Excellent written communication ? able to author architectural RFCs, decision records, and technical strategy documents that align cross-functional stakeholders.?Strong stakeholder skills ? comfortable in deep technical discussions and in conversations with senior leadership, including PE/board audiences.","Skills":"?Legal tech background or experience in another regulated industry such as healthcare or financial services.?Familiarity with ABA Model Rules of Professional Conduct and ABA Formal Opinion 512, or equivalent AI-in-legal regulatory frameworks.?Experience working with PE-backed companies through scaling phases.?Experience evaluating and operationalizing AWS AgentCore and Anthropic Claude Managed Agents in production.?Direct experience building or operating multi-tenant agent platforms with microVM-level tenant isolation.?Experience implementing the trust architecture pillars: ethical AI, tenant isolation, observability and audit, explainability with citations, hallucination guardrails.?Public technical voice ? speaker, writer, or open-source contributor on AI engineering topics.","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":true,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":320000.0000,"SalaryLow":280000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

This AI Technical Lead will own the end-to-end architecture of an AI platform, including agent frameworks, retrieval systems, knowledge graphs, lakehouse architecture, governance models, and the... overall learning flywheel that drives continuous improvement. The role is highly strategic and highly technical, with approximately 50% of time spent hands-on coding and building foundational frameworks, prototypes, evaluation harnesses, and core platform capabilities, while the remaining 50% focuses on architecture leadership, technical roadmaps, design reviews, RFCs, vendor evaluations, and cross-team alignment. This individual will be the senior technical authority for complex architectural discussions, leading tradeoff decisions and elevating engineering standards across the AI organization. They will own the agentic architecture, including Bedrock, AgentCore, Strands, multi-agent orchestration, tool integration, MCP design, and AI guardrails. The role also carries responsibility for platform evaluation practices, retrieval quality, agent performance measurement, data quality standards, and trust architecture requirements such as tenant isolation, auditability, explainability, compliance, and hallucination prevention within a regulated legal services environment. Additionally, this leader will mentor senior engineers across data, graph, retrieval, and agent disciplines while partnering closely with product, security, legal, and executive leadership to shape long-term AI strategy, staffing plans, and technology investments, making recommendations across vendors and platforms such as Anthropic, AWS, OpenAI, and other emerging technologies based on scalability, cost, and regulatory considerations.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 29, 2026

Sacramento, CA

|

Software Engineering

|

Contract

|

$52 - $65 (hourly estimate)

{"JobID":546496,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-121.49,"Longitude":38.58,"Distance":null},"State":"California","Zip":"95814","ReferenceID":"SMF-a252546d-9fe3-4bda-90b0-f6a246eadcdf","PostedDate":"\/Date(1782746196000)\/","Description":"Insight Global is seeking a Senior AI Engineer to join a critical project with one of the largest consulting and advisory firms in the world.This role will support a cloud-native AI engineering initiative for the State of California.The Senior AI Engineer will help design, build, and deploy AI agents and workflow-driven applications that integrate with enterprise platforms and external services.This person should bring strong hands-on experience across C#, containerized environments, AI/ML services, REST APIs, and modern CI/CD practices to deliver scalable, secure, and production-ready solutions.Design, develop, and implement cloud-native applications in C# to support AI-driven workflows and agent-based solutions.Build and deploy services within containerized environments such as Docker and Kubernetes.Develop and integrate AI and ML capabilities using AWS Bedrock and Azure AI services, including model fine-tuning and enterprise integration.Create and maintain RESTful APIs and connect external services into broader enterprise application architectures.Support the development of AI model deployment pipelines using GitHub Actions and Terraform.Partner with technical teams to deliver secure, scalable, and efficient AI solutions within AWS and Azure environments.Contribute to the design of automation agents, decision-support capabilities, and chatbot-style experiences where applicable.Apply engineering best practices to optimize application and model performance, reliability, and cost efficiency.Help establish reusable development patterns and workflows for AI solutions operating within a cloud-native platform environment.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Agentic AI Engineer","City":"Sacramento","ExpirationDate":null,"PriorityOrder":0,"Requirements":"5+ years of full-time experience in electronic data processing systems study, design, and programming.Bachelor?s degree in an IT-related or Engineering field; additional qualifying experience may be substituted on a year-for-year basis.4+ years of experience designing, developing, and implementing applications in csharp and containerized environments such as Docker and Kubernetes.2+ years of experience working with AI/ML models, including fine-tuning and integrating models using AWS Bedrock and Azure AI services.3+ years of experience working with RESTful APIs and integrating external services into enterprise applications.3+ years of experience building CI/CD pipelines for AI models using GitHub Actions and Terraform.","Skills":"3+ years of experience with AI frameworks such as LangChain, MLflow, Hugging Face, or TensorFlow, plus 2+ years of Infrastructure as Code experience with Terraform or AWS CloudFormation.2+ years of experience developing AI-powered chatbots, decision-support systems, or automation agents, along with implementing security best practices for cloud-based AI services.2+ years of experience optimizing AI models for performance and cost efficiency in AWS and Azure; prior experience supporting healthcare or government-related AI applications is preferred.","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":true,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":65.0000,"SalaryLow":52.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is seeking a Senior AI Engineer to join a critical project with one of the largest consulting and advisory firms in the world.This role will support a cloud-native AI engineering... initiative for the State of California.The Senior AI Engineer will help design, build, and deploy AI agents and workflow-driven applications that integrate with enterprise platforms and external services.This person should bring strong hands-on experience across C#, containerized environments, AI/ML services, REST APIs, and modern CI/CD practices to deliver scalable, secure, and production-ready solutions.Design, develop, and implement cloud-native applications in C# to support AI-driven workflows and agent-based solutions.Build and deploy services within containerized environments such as Docker and Kubernetes.Develop and integrate AI and ML capabilities using AWS Bedrock and Azure AI services, including model fine-tuning and enterprise integration.Create and maintain RESTful APIs and connect external services into broader enterprise application architectures.Support the development of AI model deployment pipelines using GitHub Actions and Terraform.Partner with technical teams to deliver secure, scalable, and efficient AI solutions within AWS and Azure environments.Contribute to the design of automation agents, decision-support capabilities, and chatbot-style experiences where applicable.Apply engineering best practices to optimize application and model performance, reliability, and cost efficiency.Help establish reusable development patterns and workflows for AI solutions operating within a cloud-native platform environment.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 15, 2026

Dallas, TX

|

Security Engineering

|

Contract

|

$83 - $104 (hourly estimate)

{"JobID":541787,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-96.76,"Longitude":32.79,"Distance":null},"State":"Texas","Zip":"75202","ReferenceID":"DAL-d33bec15-4cb9-4e1c-880d-50d08a8df2f3","PostedDate":"\/Date(1781557263000)\/","Description":"The Principal Cyber AI Engineer will drive the development and optimization of advanced tools, processes, and workflows to predict, detect, assess, and prevent AI-specific threats. This hands-on technical leadership role combines deep expertise in cybersecurity, AI security architecture, threat modeling, and security assessments to help ensure the safe adoption of AI technologies across the enterprise.The ideal candidate will have direct experience assessing, securing, and remediating vulnerabilities in AI applications, AI platforms, agentic workflows, MCP-enabled architectures, and generative AI solutions deployed in production environments.Key Responsibilities? Design, develop, and optimize AI security threat models, controls, and architectures for AI applications, AI agents, and enterprise AI platforms.? Perform security assessments and architecture reviews of AI solutions, including generative AI applications, agentic systems, MCP-based architectures, and AI-enabled workflows.? Identify, analyze, and remediate AI-specific threats, including prompt injection, insecure tool usage, excessive agent permissions, model abuse, data leakage, and unauthorized access patterns.? Implement and secure machine learning models, AI services, and agentic workflows to enhance threat detection, monitoring, and risk scoring capabilities.? Partner with data scientists, AI engineers, security engineers, and platform teams to integrate security throughout the AI development lifecycle.? Develop security controls, governance frameworks, guardrails, and monitoring capabilities for enterprise AI deployments.? Analyze AI security incidents and assessment findings to improve AI security architecture, controls, and remediation strategies.? Provide technical leadership and mentorship to engineers on AI security best practices, threat modeling, and secure AI design.? Ensure alignment with industry standards such as NIST AI-RMF, ISO42001, OWASP Top 10 for LLM Applications, and emerging AI security practices.? Stay current on advancements in AI, agentic systems, MCP architectures, AI attack techniques, and evolving cybersecurity threats.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Principal AI Security Engineer","City":"Dallas","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? A Bachelor\u0027s or Master\u0027s degree in Computer Science, Engineering, Cybersecurity, or a closely related discipline is required.? 10+ years of experience in cybersecurity engineering, application security, cloud security, or AI security within enterprise environments.? Expertise in Python, R, Java, or similar programming languages.? Deep understanding of machine learning, large language models (LLMs), agentic architectures, and AI application security.? Demonstrated experience performing security assessments, threat modeling, and remediation activities for AI applications, AI platforms, or generative AI solutions.? Hands-on experience identifying and mitigating AI-specific threats, including prompt injection, data leakage, model abuse, insecure tool access, agent privilege escalation, and unauthorized data exposure.? Experience performing security reviews of AI systems, agent-based workflows, MCP-enabled architectures, APIs, and enterprise AI integrations.? 3+ years of experience with Azure or AWS cloud-native services, architectures, and tools.? Expertise in enterprise architectures, including cloud-native, AI, and distributed application security patterns.? Advanced knowledge of security and governance frameworks, including NIST AI-RMF, ISO42001, and OWASP Top 10 for LLM Applications.Strong communication skills with the ability to explain complex technical concepts and remediation strategies to both technical and non-technical stakeholders","Skills":"? Experience securing Agentic AI systems, multi-agent architectures, and autonomous workflows.? Experience securing or assessing Model Context Protocol (MCP) architectures, tool integrations, and agent communication frameworks.? Experience conducting AI security testing, red teaming, penetration testing, or architecture reviews of AI applications.? Demonstrated ability to lead cross-functional technical teams.? Experience implementing AI security controls, guardrails, monitoring, and governance solutions in production environments.","Industry":"Security Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":true,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":104.0000,"SalaryLow":83.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

The Principal Cyber AI Engineer will drive the development and optimization of advanced tools, processes, and workflows to predict, detect, assess, and prevent AI-specific threats. This hands-on... technical leadership role combines deep expertise in cybersecurity, AI security architecture, threat modeling, and security assessments to help ensure the safe adoption of AI technologies across the enterprise.The ideal candidate will have direct experience assessing, securing, and remediating vulnerabilities in AI applications, AI platforms, agentic workflows, MCP-enabled architectures, and generative AI solutions deployed in production environments.Key Responsibilities? Design, develop, and optimize AI security threat models, controls, and architectures for AI applications, AI agents, and enterprise AI platforms.? Perform security assessments and architecture reviews of AI solutions, including generative AI applications, agentic systems, MCP-based architectures, and AI-enabled workflows.? Identify, analyze, and remediate AI-specific threats, including prompt injection, insecure tool usage, excessive agent permissions, model abuse, data leakage, and unauthorized access patterns.? Implement and secure machine learning models, AI services, and agentic workflows to enhance threat detection, monitoring, and risk scoring capabilities.? Partner with data scientists, AI engineers, security engineers, and platform teams to integrate security throughout the AI development lifecycle.? Develop security controls, governance frameworks, guardrails, and monitoring capabilities for enterprise AI deployments.? Analyze AI security incidents and assessment findings to improve AI security architecture, controls, and remediation strategies.? Provide technical leadership and mentorship to engineers on AI security best practices, threat modeling, and secure AI design.? Ensure alignment with industry standards such as NIST AI-RMF, ISO42001, OWASP Top 10 for LLM Applications, and emerging AI security practices.? Stay current on advancements in AI, agentic systems, MCP architectures, AI attack techniques, and evolving cybersecurity threats.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 26, 2026

Chicago, IL

|

Security Engineering

|

Contract

|

$68 - $85 (hourly estimate)

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Support three parallel AI initiatives within a single program:AI Gateway design and strategyAI Security Posture Management (AI-SPM)Shadow AI discovery and governancePartner with project teams to... refine control objectives and expand early-stage requirementsTranslate requirements into scalable, enterprise-aligned solution architectureIdentify gaps across AI security, identity, and infrastructure capabilitiesDesign AI gateway architecture to support internal, external, and customer-facing AI interactionsContribute to identity strategy focused on agentic and workload identity across AI systemsDefine approaches for identifying unsanctioned AI, including:AI deployed internally without governanceExternal SaaS AI tools used by employeesDevelop requirements for tools and processes to detect and manage Shadow AI assetsCollaborate with enterprise architecture teams to ensure alignment with organizational standards and efficiency goalsProvide architectural guidance without direct responsibility for implementationWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 26, 2026

Naperville, IL

|

Security Engineering

|

Contract

|

$62 - $77 (hourly estimate)

{"JobID":546224,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-88.15,"Longitude":41.76,"Distance":null},"State":"Illinois","Zip":"60563","ReferenceID":"CHI-6b697d64-a953-4520-8595-8f822718aa0c","PostedDate":"\/Date(1782509514000)\/","Description":"Assist in building and enhancing an AI-driven harness for application security vulnerability detectionDevelop Python-based components to support AI-powered AppSec testing workflowsLeverage AI tools and models to identify, analyze, and prioritize application security vulnerabilitiesCollaborate with engineering and security teams to integrate AI-driven solutions into development pipelinesEvaluate strengths and weaknesses of different AI models for software security use casesContribute to building internal application security capabilities and toolingContinuously test, iterate, and improve AI-based approaches to security testing and detectionWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"AI Application Security Engineer","City":"Naperville","ExpirationDate":null,"PriorityOrder":0,"Requirements":"5+ years of software development experience with strong emphasis on JavaScript and PythonStrong Python development skills with hands-on experience building and scaling applicationsProven background in Application Security (AppSec) including vulnerability identification and mitigationExperience leveraging AI/ML in software development or security use casesUnderstanding of AI model capabilities, limitations, and practical application in security workflowsExperience building or contributing to tools/platforms for application security testingAbility to work autonomously and contribute to building internal security capabilities (AI harness, tooling)","Skills":"Experience building AI-driven security testing frameworks or ?AI harness? toolsFamiliarity with internal platforms or security capability building (e.g., Mythos-like systems)Exposure to DevSecOps practices and secure SDLC integrationExperience with LLMs, prompt engineering, or evaluating AI model effectivenessBackground in automation of application security testing processesExperience working in financial services or highly regulated environments","Industry":"Security Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":true,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":77.0000,"SalaryLow":61.6000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Assist in building and enhancing an AI-driven harness for application security vulnerability detectionDevelop Python-based components to support AI-powered AppSec testing workflowsLeverage AI tools... and models to identify, analyze, and prioritize application security vulnerabilitiesCollaborate with engineering and security teams to integrate AI-driven solutions into development pipelinesEvaluate strengths and weaknesses of different AI models for software security use casesContribute to building internal application security capabilities and toolingContinuously test, iterate, and improve AI-based approaches to security testing and detectionWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jul 28, 2026

Irving, TX

|

Software Engineering

|

Contract-to-perm

|

$52 - $65 (hourly estimate)

{"JobID":557417,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-96.96,"Longitude":32.85,"Distance":null},"State":"Texas","Zip":"75039","ReferenceID":"DAL-e053905e-db36-4e76-8685-ae82888ae97e","PostedDate":"\/Date(1785255507000)\/","Description":"Make AI PossibleInvited Clubs is building an enterprise AI Factory to transform how work gets done across the organization. The AI Platform Engineer is responsible for creating the foundation that enables AI to scale by connecting enterprise systems, knowledge, data, and services to AI solutions. This role focuses on building reusable capabilities, integrations, and frameworks that allow AI Solutions Engineers and Automation Engineers to deliver value faster.The ideal candidate is a curious builder who enjoys solving complex technical challenges, connecting systems, and making enterprise knowledge accessible through AI.Key Responsibilities? Design and build enterprise AI platform capabilities and shared services? Develop AI connectivity frameworks and reusable integrations? Enable AI access to enterprise data, knowledge, and business systems? Build RAG-based knowledge solutions and intelligent search experiences? Create and maintain APIs, connectors, and integration patterns? Ensure enterprise AI platforms are scalable, secure, and reliable? Support multi-agent architectures and interoperability across AI systems? Partner with business and technical teams to accelerate AI adoptionWhat Success Looks Like? AI builders rarely encounter technical roadblocks? Enterprise knowledge becomes easily accessible through AI? Teams reuse integrations instead of rebuilding them? New AI solutions launch quickly and scale effectively? The AI Factory grows without increasing complexityWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"AI Platform Engineer","City":"Irving","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? Experience building APIs, integrations, and cloud-based applications? Strong software engineering skills (Python preferred)? Experience with Azure, Microsoft 365, and enterprise cloud environments? Understanding of authentication, authorization, and identity management (Entra ID, OAuth, SSO)? Experience working with enterprise data sources and knowledge systems? Familiarity with AI technologies such as RAG, vector databases, semantic search, or LLM applicationsStrong problem-solving skills and ability to learn new technologies quickly","Skills":"? Experience with Azure AI Foundry, Azure OpenAI, or Microsoft Graph? MCP (Model Context Protocol) experience? ServiceNow, Salesforce, Oracle HCM, or enterprise platform integrations? Open-source contributions or personal AI projects? Experience building developer tools, frameworks, or reusable platformsKnowledge of multi-agent systems and AI orchestration","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":true,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":65.0000,"SalaryLow":52.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Make AI PossibleInvited Clubs is building an enterprise AI Factory to transform how work gets done across the organization. The AI Platform Engineer is responsible for creating the foundation that... enables AI to scale by connecting enterprise systems, knowledge, data, and services to AI solutions. This role focuses on building reusable capabilities, integrations, and frameworks that allow AI Solutions Engineers and Automation Engineers to deliver value faster.The ideal candidate is a curious builder who enjoys solving complex technical challenges, connecting systems, and making enterprise knowledge accessible through AI.Key Responsibilities? Design and build enterprise AI platform capabilities and shared services? Develop AI connectivity frameworks and reusable integrations? Enable AI access to enterprise data, knowledge, and business systems? Build RAG-based knowledge solutions and intelligent search experiences? Create and maintain APIs, connectors, and integration patterns? Ensure enterprise AI platforms are scalable, secure, and reliable? Support multi-agent architectures and interoperability across AI systems? Partner with business and technical teams to accelerate AI adoptionWhat Success Looks Like? AI builders rarely encounter technical roadblocks? Enterprise knowledge becomes easily accessible through AI? Teams reuse integrations instead of rebuilding them? New AI solutions launch quickly and scale effectively? The AI Factory grows without increasing complexityWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 05, 2026

Rockville, MD

|

Business Analysis

|

Perm

|

$130k - $150k (estimate)

{"JobID":538270,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-77.15,"Longitude":39.08,"Distance":null},"State":"Maryland","Zip":"20852","ReferenceID":"DGO-3a524c18-d12e-419b-8091-bd193a14d252","PostedDate":"\/Date(1780671789000)\/","Description":"The AI Solutions Manager is a hands-on ?builder? role focused on developing and operationalizing AI-powered solutions. This is not a traditional people management role but rather an individual contributor responsible for implementation and cross-functional collaboration.Key Responsibilities:- Build and implement LLM-powered workflows using tools such as Copilot and Claude- Develop no-code/low-code automation solutions using Power Automate, Zapier, and Make- Perform prompt engineering and optimize AI outputs- Integrate systems using APIs- Partner with business and IT teams to translate needs into AI-driven solutions- Act as a bridge between operations and IT (consultative role)Team Structure \u0026 Environment:- Part of a newly forming AI transformation team- Will report into operations, not IT- No direct reports (focus is on process + execution, not people management)- Works alongside a separate IT team responsible for core technical buildsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"AI Solutions Manager","City":"Rockville","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- Strong hands-on experience building and deploying AI solutions- Deep familiarity with LLM tools (e.g., Copilot, Claude)- Experience with automation platforms (Power Automate, Zapier, Make)- Strong prompt engineering skills- Ability to operationalize AI in a business setting- Background in AI/ML or technical roles preferred, but must be business-facing- Innovative and adaptable mindset (client is open to candidates outside healthcare/pharmacy)","Skills":"- Healthcare or HIPAA familiarity","Industry":"Business Analysis","Country":"US","Division":"IT","Office":null,"IsRemoteJob":true,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":150000.0000,"SalaryLow":130000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

The AI Solutions Manager is a hands-on ?builder? role focused on developing and operationalizing AI-powered solutions. This is not a traditional people management role but rather an individual... contributor responsible for implementation and cross-functional collaboration.Key Responsibilities:- Build and implement LLM-powered workflows using tools such as Copilot and Claude- Develop no-code/low-code automation solutions using Power Automate, Zapier, and Make- Perform prompt engineering and optimize AI outputs- Integrate systems using APIs- Partner with business and IT teams to translate needs into AI-driven solutions- Act as a bridge between operations and IT (consultative role)Team Structure & Environment:- Part of a newly forming AI transformation team- Will report into operations, not IT- No direct reports (focus is on process + execution, not people management)- Works alongside a separate IT team responsible for core technical buildsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jul 28, 2026

Pleasanton, CA

|

Software Engineering

|

Contract

|

$72 - $90 (hourly estimate)

{"JobID":557323,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-121.93,"Longitude":37.67,"Distance":null},"State":"California","Zip":"94588","ReferenceID":"HSA-848a9054-ae1d-4c6a-8a1b-5a169bc94469","PostedDate":"\/Date(1785248449000)\/","Description":"We are seeking a Senior Generative AI Developer to design, build, and deploy enterprise-grade AI applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows, and cloud-native technologies. This individual will develop scalable, secure AI solutions, integrate enterprise data sources, and collaborate with cross-functional teams to drive AI adoption and business value. The ideal candidate has strong software engineering fundamentals, hands-on experience with modern AI frameworks, and expertise deploying solutions within Microsoft Azure environments.This requirements profile is suitable for a Senior Generative AI Developer, AI Engineer, or Full-Stack Generative AI Developer role supporting enterprise Copilot, hospital intelligence, finance AI, operational analytics, or broader AI transformation initiatives.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Generative AI Developer","City":"Pleasanton","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Strong Python development experience, including APIs, microservices, and backend application development. Hands-on experience with LLM platforms such as Azure OpenAI, OpenAI, Claude, Gemini, or open-source models (Llama, Mistral, Phi). Experience building RAG solutions using frameworks such as LangChain, LangGraph, LlamaIndex, or Semantic Kernel. Expertise with vector databases, embeddings, semantic search, and knowledge retrieval platforms such as Pinecone, Weaviate, Chroma, Azure AI Search, or FAISS. Experience deploying AI applications in Azure, including Azure OpenAI, Azure AI Services, AKS, Docker, Kubernetes, CI/CD, and enterprise integrations.","Skills":"Experience with agentic AI development and multi-agent orchestration. Knowledge of Model Context Protocol (MCP) integration patternsExperience with model fine-tuning, customization, and evaluation pipelines. Familiarity with AI observability tools such as LangSmith or PromptFlow. Healthcare AI experience, including privacy, governance, safety, and Responsible AI practicesPreferred Technology Stack Language : Python Cloud : Azure AI Services : Azure OpenAI, Azure AI Foundry, Azure AI Search Frameworks : LangChain, LangGraph, LlamaIndex, Semantic Kernel Vector Stores : Pinecone, Weaviate, Chroma, Azure AI Search, FAISS Containers : Docker, Kubernetes, AKS DevOps : GitHub Actions, Azure DevOps Monitoring : Azure Monitor, Application Insights Databases : MongoDB, PostgreSQL, SQL Server","Industry":"Software Engineering","Country":"US","Division":"IGH","Office":null,"IsRemoteJob":true,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":90.0000,"SalaryLow":72.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking a Senior Generative AI Developer to design, build, and deploy enterprise-grade AI applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic... workflows, and cloud-native technologies. This individual will develop scalable, secure AI solutions, integrate enterprise data sources, and collaborate with cross-functional teams to drive AI adoption and business value. The ideal candidate has strong software engineering fundamentals, hands-on experience with modern AI frameworks, and expertise deploying solutions within Microsoft Azure environments.This requirements profile is suitable for a Senior Generative AI Developer, AI Engineer, or Full-Stack Generative AI Developer role supporting enterprise Copilot, hospital intelligence, finance AI, operational analytics, or broader AI transformation initiatives.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

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