Job Search Results for python developer

Insight Global is looking for a Mainframe Quality Engineer to join a leading client in Plano, TX. As a Mainframe Quality Engineer, you will be responsible for test planning andexecution of... More maintenance and enhancement for a product named Gen. Gen is a low-code model-driven development environment forenterprise applications. Gen enables global businesses to generate and deployapplications in a single, integrated development environment for multiple platforms.This role will require mainframe expertise, and grow to encompass the full range of Genfunctionality across all platformsWe 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/.Less

An AI Consulting firm is looking for an GenAI Innovation Engineer/GenAI Forward Deployed Engineer for greenfield product development. They will be building industry-specific AI solutions (Healthcare,... More BFSI) from scratch. The goal is to create reusable frameworks that the company can coinvest in with pilot customers. This team is building a ?start up? within the company to be the GenAI brains of the company. They are hiring the smartest, most creative, ?out of the box? thinkers, and passionate AI individuals to join their ?incubator? team. This will be an ?incubator? filled with GenAI engineers, GenAI Product Managers, etc. that will research and brainstorm the latest and greatest GenAI technologies and services so that they can recommend what Perficient should go to market with. There will be a lot of brainstorming, prototyping, and fun conversations. Personality is KEY here. They will also be joining customer meetings as the technical POC to help solve customers? problems. The day to day will be 60% Hands-on Engineering: Building production-grade AI/ML pipelines and reusable frameworks, 20% Forward Deployed Engineering: Working directly with pilot customers to validate the solution and integrate real-world feedback, 20% Architecture & Strategy: Designing for scalability?turning a specific client solution into a reusable product. - Research and validate emerging AI technologies - Build internal AI accelerators and tools - Conduct feasibility experiments for complex problems - Support delivery teams with specialized expertise - Maintain a validated library of next-generation capabilities - Improve internal operational efficiency through AI tools - Reduce technical risk for delivery teams - Sustain a continuous pipeline of technical innovationWe 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/.Less

An AI company is looking for an AI Solutions Manager for greenfield product development. They will be building industry-specific AI solutions (Healthcare, BFSI) from scratch. The goal is to create... More reusable frameworks that the company can coinvest in with pilot customers. This team is building a ?start up? within the company to be the AI brains of Perficient. They are hiring the smartest, most creative, ?out of the box? thinkers, and passionate AI individuals to join their ?incubator? team. This will be an ?incubator? filled with AI engineers, AI Product Managers, etc. that will research and brainstorm the latest and greatest AI technologies and services so that they can recommend what Perficient should go to market with. There will be a lot of brainstorming, prototyping, and fun conversations. Personality is KEY here. They will also be joining customer meetings as the technical POC to help solve customers? problems.The day to day will be 60% Hands-on Engineering: Building production-grade AI/ML pipelines and reusable frameworks, 20% Forward Deployed Engineering: Working directly with pilot customers to validate the solution and integrate real-world feedback, 20% Architecture & Strategy: Designing for scalability?turning a specific client solution into a reusable product. - Translate business goals into actionable engineering backlogs- Guide FDEs (Full-Stack Development Engineers) to execute the solution vision- Manage deployment strategy and define success criteria- Drive user adoption and oversee change management initiatives- Bridge communication between client stakeholders and engineering teams- Ensure engineering output is consistently aligned with business value- Accelerate adoption of agentic workflows across the organization- Enable a seamless transition from development to consumption- Maximize ROI from engineering resourcesWe 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/.Less

Day-to-Day Responsibilities? 50% ? Cloud operations & support? Supporting multiple AWS production accounts? Maintaining Terraform-based Infrastructure as Code? Supporting AWS services, pipelines, and... More deployed workloads? Performing updates and upgrades? 30% ? Net-new cloud development & architecture? Building new AWS infrastructure and services? Designing and improving cloud architectures? Partnering with Data Engineers on data workload migrations? 20% ? Optimization, monitoring & collaboration? Managing GitHub repositories and CI/CD pipelines? Monitoring with Datadog and CloudWatch? Applying FinOps practices for cost optimization? Guiding networking teams on hybrid connectivity and private linksKey Responsibilities- Cloud Infrastructure & DevOps? Support AWS production environments using Terraform? Build and maintain AWS pipelines and cloud services? Own deployed infrastructure end-to-end? Perform cloud updates, upgrades, and lifecycle management- Architecture & Cloud Enablement? Contribute to AWS cloud architecture design? Support net-new cloud development initiatives? Guide networking strategy with on-prem teams? Support limited Azure workloads as needed- Monitoring, Security & Operations? Monitor AWS environments using Datadog and CloudWatch? Partner with Security teams on cloud best practices? Support operational readiness and production stabilityParticipate in an on-call rotation including occasional off-hours supportCompensation: $130k to $150k, Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.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/.Less

We are looking for a highly motivated, creative Senior AI Engineer who thrives in a fast-paced environment who takes ownership from concept to production. In this role, you will work closely with... More product managers and AI platform engineers to turn evolving ideas into secure, scalable, and logically sound AI-powered features.You will be expected to operate with minimal supervision, make excellent technical trade-off decisions, and balance speed with engineering discipline. This role is ideal for an engineer who can adapt quickly, respond to changing priorities, and still deliver high-quality, production solutions where end users are already actively engaging with agentic experiences! Key ResponsibilitiesAI Feature Development & Ownership?Partner with a cross-functional team of engineers, data scientists, technical program managers, and product managers to deliver AI-powered products that change how productively customers and employees conduct their work. ?Design and implement the Agentic AI workflows from orchestration for reasoning, decomposing user requests, planning and managing tasks to agents, MCPs, tools and new agentic frameworks like A2UI that enable and scale such production workflows securely with considerations for error and exception handling and human-in-the-loop feedback.?Implement verification layers, citations, and security guardrails to ensure agents operate more predictably and safely under similar circumstances, akin to treating prompts as unverified code and model outputs as untrusted that requires validation?Translate rapidly evolving product needs and frequent pivots into clear technical designs and working implementations.?Build advanced Retrieval-Augmented Generation (RAG) pipelines and MCP and tool use capabilities, allowing agents to query databases, call internal APIs, and synthesize data from disparate sources?Lead technical direction and collaborate with different groups to define the roadmap for AI orchestration for internal and external facing agentic workflows ?Take end-to-end ownership of features, including experimentation, iteration, deployment, and operational support.?Rapidly prototype and iterate while ensuring production implementations remain robust and maintainable.Collaboration & Product Partnership?Partner closely with product managers to continuously refine feature scope, user experience, and technical feasibility.?Collaborate with AI platform engineers to leverage shared infrastructure, tooling, and standards.?Provide technical input that helps teams navigate tradeoffs in a dynamic, fast-moving delivery environment.?Act as a bridge between shifting product direction and stable technical execution.?Mentor other engineers and raise the bar for AI engineering practices across the organization.Engineering Rigor & Security?Ensure AI solutions are secure by design, even as requirements and priorities change.?Build systems that are logically sound, testable, and resilient under continuous iteration.?Apply strong software engineering practices, including testing, versioning, monitoring, and documentation.?Identify and mitigate risks related to model behavior, performance, reliability, and misuse.AI Systems & Integration?Develop and integrate AI solutions using modern techniques such as LLMs, retrieval-augmented generation (RAG), agents, MCPs and APIs.?Implement prompt engineering, evaluation strategies, and feedback loops to improve AI quality over time.?Integrate AI capabilities into existing applications, services, and workflows.?Monitor and continuously improve model behavior, latency, cost, and user outcomes in production.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/.Less

The AI/ML Engineer is responsible for designing, developing, and deploying scalable artificial intelligence and machine learning solutions that enhance customer interactions, automate... More decision-making, and improve operational efficiency. This role involves building intelligent workflows, predictive models, data driven insights, and automation frameworks in collaboration with cross functional engineering, product, and support teams.AI Driven Interactions & AutomationDesign and implement AI powered conversational flows and automated decisioning logic.Build secure data integrations to enable real time processing and intelligent responses.Optimize large language model (LLM) workflows for accuracy, performance, and usability.Data Analytics & Predictive ModelingApply machine learning techniques to structured and unstructured data from various systems.Develop predictive models to identify trends, detect anomalies, and support proactive decision making.Implement monitoring and alerting mechanisms to ensure timely detection and escalation of issues.Real Time Intelligence for Internal TeamsIntegrate AI driven insights into internal tools to support agents and operations teams.Deliver real time recommendations, next best actions, and contextual guidance based on combined system and interaction data.Enhance employee productivity through intelligent assistance and dynamic knowledge retrieval.Automated Workflows & Operational SafetyBuild diagnostic and remediation automation with appropriate safety, governance, and auditability controls.Ensure all automated actions adhere to defined compliance, authorization, and security rules.Develop dashboards and reporting tools for system health, workflow performance, and model metrics.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/.Less

An employer is seeking an AI SDET for a large financial client sitting in Charlotte, NC. This person will be joining the Customer Care and Communications team. Responsibilities include: ?Help create... More a culture that motivates teams to ensure zero defects leak into production.?Work across teams to understand enterprise quality requirements and ensure adoption of core processes and standards.?Implement the shift-left test strategy for each line of business?Leverage open-source automation frameworks and tools across all levels of testing that integrate in the automated CI/CD pipeline.?Participate in the Agile (Scrum) team process, perform required standard testing activities keeping the customer experience top of mind during the testing process.?Work with internal teams to document test environment and test data management container strategies and provisioning for the different types of testing activities.?Comprehend and decompose user stories/requirements to identify what tests need to be created and automated across all levels of testing.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/.Less

We are seeking an experienced Databricks Architect to lead the design, implementation, and optimization of our enterprise data and AI platform. The ideal candidate will have strong expertise in... More Databricks, cloud platforms (Azure/AWS/GCP), and big data ecosystems, with a proven track record of architecting scalable and secure solutions.Key Responsibilities?Design, architect, and implement end-to-end data and AI solutions using Databricks and related ecosystem tools. ?Define architecture standards, best practices, and governance for Databricks-based data platforms. ?Collaborate with business stakeholders, data engineers, data scientists, and analysts to design efficient and scalable data pipelines. ?Optimize data processing, performance, and cost-efficiency across cloud and Databricks environments. ?Lead migration projects from legacy systems to Databricks/Lakehouse architectures. ?Ensure solutions meet enterprise-grade standards for security, compliance, and data quality. ?Mentor junior engineers and provide architectural guidance to technical teams.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/.Less

As a Senior DevSecOps & MLOps Engineer, you will lead the design, automation, and governance of secure CI/CD and ML pipelines to enable reliable, scalable, and compliant software and AI delivery. You... More will partner closely with application development, data science, infrastructure, and security teams to build resilient runtime platforms, standardize deployment workflows, and embed security and observability across the full software and machine learning lifecycle.This role blends DevSecOps, platform engineering, and MLOps, with a strong emphasis on automation, security, and operational excellence.Key ResponsibilitiesDevSecOps & Platform EngineeringArchitect, implement, and maintain secure, scalable CI/CD pipelines for application and AI workloads.Define and enforce best practices for source control, release management, infrastructure-as-code, and information security.Analyze code repositories for security vulnerabilities and compliance issues, driving remediation strategies.Deploy, operate, and optimize containerized platforms using Docker and Kubernetes.Build and maintain secure, resilient runtime environments across SaaS, IaaS, and PaaS platforms.Collaborate with platform leads and third-party vendors to assess, test, and deploy upgrades and patches.Resolve complex environmental and deployment issues in partnership with external technical account managers.Automate infrastructure provisioning and configuration using Terraform, Ansible, and Azure Resource Manager (ARM).Plan and execute production deployments with minimal downtime using proven release strategies.MLOps & AI DeploymentSupport the full machine learning lifecycle, including model training, validation, deployment, monitoring, and retirement.Build and maintain ML pipelines with tools such as MLflow, Kubeflow, or equivalent frameworks.Manage model versioning, lifecycle management, and artifact traceability.Deploy ML models as production-grade APIs using REST or gRPC.Implement model serving solutions using FastAPI, TorchServe, KFServing, or similar frameworks.Design and operate batch and real-time inference pipelines.Implement canary and blue-green deployment strategies for ML models.Standardize AI deployment workflows by building reusable pipeline templates and enabling self-service for development and data science teams.Observability, Reliability & SecurityImplement observability for applications and AI systems, including logging, monitoring, and alerting.Monitor model performance, accuracy, and drift (data drift and concept drift).Enable AI observability by logging model inputs and outputs for traceability and auditability.Design and integrate feedback loops to continuously improve model performance.Secure ML pipelines and model endpoints, including authentication, authorization, and secrets management.Ensure proper handling of PII and sensitive data in AI workflows.Promote Responsible AI practices, including governance, auditability, and risk mitigation.Maintain awareness of prompt injection risks and security concerns for LLM-based systems.Collaboration & Ways of WorkingChampion secure development and operational best practices across engineering and data teams.Act as a trusted partner and advisor for DevSecOps, MLOps, and platform engineering initiatives.Actively participate in agile ceremonies, peer reviews, and knowledge-sharing activities.Produce and maintain high-quality documentation, including architecture diagrams, specifications, runbooks, and procedures.Provide responsive triage and resolution for issues across development, staging, and production environments.Foster open, professional communication across all levels of the organization.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/.Less

Insight Global is looking for a skilled GenAI Engineer who is well versed in both development and data engineering. This role will focus on building a competitive intelligence platform, aggregating... More and analyzing both internal and external data to surface insights that influence the organization's pricing, marketing, and go-to-market decisions. The individual will design and develop scalable, backend services that integrate AI and generative AI capabilities to improve data-driven decision making. The ideal candidate is a strong Python developer with deep experience in data engineering and AI, working within a microservices architecture using FastAPI. The role is heavily backend-focused and requires hands-on experience with modern data platforms such as Databricks and Snowflake to enable large-scale analytics and intelligent insight generation.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/.Less