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Oct 22, 2025

Dallas, TX

|

IT (DNU)

|

Perm

|

$200k - $240k (estimate)

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Responsibilities will include the following: AI Architectural and Strategy:Define and maintain the overarching GenAI, LLMs, RAG pipelines, and autonomous agent systemsDesign and implement multiple agent orchestration workflows and agentic frameworks.Evaluate and select AI/Agentic tools, frameworks, and platforms (ex: LangChain, Semantic Kernel, Vertex AI, Azure OpenAI, AWS Bedrock, LangGraph, CrewAI)Align architectural decisions with business performance metrics, latency, security, cost, and explainability requirements.Assess emerging AI technologies and trends, recommending their adoption where appropriateDesign scalable architectures that support composability, modularity, observability, and scalability of AI solutions, ensuring alignment with business strategy, data strategy, and technology roadmapParticipate as a key stakeholder in the development of our AI RoadmapSolution Design:Collaborate with cross-functional teams, including data architects, data scientists, enterprise architecture, security, AI product managers, and business stakeholdersGuide proof-of-concept development and prototype evaluations to validate architecture decisionsProvide architecture review, feedback, and mentorship to AI engineering teamsConduct structured build-vs-buy evaluations and contribute to platform roadmap decisionsGovernance:Embed responsible AI principles, privacy, and governance frameworks into system designEnsure AI architecture complies with enterprise standards, security policies, and regulatory frameworksPartner with AI governance, data governance, security, and compliance teams to implement transparency and auditabilityWe 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":"Lead AI Architect","City":"Dallas","ExpirationDate":null,"PriorityOrder":0,"Requirements":"BA/BS plus at least 10 years of relevant architecture experience or demonstrated equivalency of experience and/or educationAt least 4 years of experience in ML or AI systems design and architectureProven expertise in designing and deploying enterprise-grade genAI, RAG models, agentic AI, and ML pipelines.Working knowledge/experience with interoperability protocols such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) for cross-platform agent communication.Experience designing/implementing solutions with agentic frameworks (e.g., LangChain, Azure AI Agent Services, n8n, Autogen, etc.).Working knowledge of AI Gateway implementation for enforcing guardrails, monitoring, and centralized model access control.At least 3 years of experience building AI solutions in AWS or equivalentAbility to build AI POCs and design for enterprise productionLeadership \u0026 Collaboration:Excellent collaboration and communication skills are keyMust be comfortable engaging with key stakeholders and IT top-level leadershipProven ability to lead and influence cross-functional teams, including software engineer teams and software product managersDemonstrated ability to stay on top of AI trends and best practices","Skills":"Understanding of MLOps and DevOps practices including CI/CD for models, observability, and rollback GitHub, GitHub ActionsCI\\CD pipelines using YML, AWS CloudFormation, TerraformIs intellectually curious in order to keep on top of new concepts in AI/ML, trends, and best practicesContainerization tools like Kubernetes and DockerProgramming languages/frameworks including csharp, Python, JavaScript, JSONAzure DevOps for recording and tracking of Epics, Features and User Stories","Industry":"IT (DNU)","Country":"US","Division":"AF\u0026E","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":240000.0000,"SalaryLow":200000.0000,"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 Lead AI Architect to work a hybrid schedule onsite in Dallas or Houston, TX, with its fortune 500 Civil Engineering consultant client. Responsibilities will include the... following: AI Architectural and Strategy:Define and maintain the overarching GenAI, LLMs, RAG pipelines, and autonomous agent systemsDesign and implement multiple agent orchestration workflows and agentic frameworks.Evaluate and select AI/Agentic tools, frameworks, and platforms (ex: LangChain, Semantic Kernel, Vertex AI, Azure OpenAI, AWS Bedrock, LangGraph, CrewAI)Align architectural decisions with business performance metrics, latency, security, cost, and explainability requirements.Assess emerging AI technologies and trends, recommending their adoption where appropriateDesign scalable architectures that support composability, modularity, observability, and scalability of AI solutions, ensuring alignment with business strategy, data strategy, and technology roadmapParticipate as a key stakeholder in the development of our AI RoadmapSolution Design:Collaborate with cross-functional teams, including data architects, data scientists, enterprise architecture, security, AI product managers, and business stakeholdersGuide proof-of-concept development and prototype evaluations to validate architecture decisionsProvide architecture review, feedback, and mentorship to AI engineering teamsConduct structured build-vs-buy evaluations and contribute to platform roadmap decisionsGovernance:Embed responsible AI principles, privacy, and governance frameworks into system designEnsure AI architecture complies with enterprise standards, security policies, and regulatory frameworksPartner with AI governance, data governance, security, and compliance teams to implement transparency and auditabilityWe 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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