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# Gen AI Engineer

- **Company:** Infosys
- **Location:** Tempe, AZ, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Software Documentation, Code Review, Continuous Integration, Data Cleansing, Cursor (Graphical User Interface Elements), Python (Programming Language), Language Modeling, SAS (Software), GitHub Copilot, Large Language Models, Git, Fastapi, Kubernetes, Data Analytics, Machine Learning Operations, Docker, Microservices
- **Published:** August 9, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/gen-ai-engineer-tempe-az-usa-58868060

## About the Role

* SAS and R/Python to create reusable customizations for ML and non-ML tasks * Define analytics problems; execute visualization, analysis, and predictive modeling under guidance * Maintain models and implement improvements for accuracy and reliability * Apply governance controls to mitigate risks and ensure compliance * Analyze performance trends; document discrepancies for escalation * Maintain documentation standards and participate in knowledge transfer * Engage with stakeholders to refine requirements and guide model implementation * Deploy analytics tools and validate deployment success * Contribute to IP assets, training initiatives, and thought leadership * Deliver analytics training and create content * Support business planning with data-driven insights Tasks * Python proficiency and hands-on building of enterprise GenAI apps with orchestration frameworks (Lang Chain, Lang Graph, Llama Index) * Experience with Azure OpenAI, AWS Bedrock, OpenAI, Anthropic or similar LLM aaaaaaaa
to integration with enterprise APIs and knowledge repositories * Building production APIs and microservices (FastAPI, Docker, Kubernetes); software engineering fundamentals (design, testing, CI/CD, Git) * Experience with AI coding assistants (GitHub Copilot, Claude Code, Cursor) * LLMOps practices (observability, tracing, evaluation, guardrails, cost governance, model safety) * Code reviews and cross-team collaboration to drive technical decisions Key requirements * Medical/Dental/Vision insurance * Disability insurance * Health and Dependent Care Reimbursement Accounts * 401(k) plan * Paid holidays and Paid Time Off

## Description

Experteer Overview In this role you'll develop data preparation and modeling solutions to support complex business needs. You will build, evaluate, and deploy predictive models including LLM-based applications, ensuring production readiness and governance. You'll collaborate with stakeholders, share knowledge, and drive improvements in accuracy, reliability, and performance. This position offers exposure to cutting-edge GenAI technologies and opportunities to shape scalable analytics solutions within a dynamic team. Compensation / Benefits * Develop data preparation tasks and identify data patterns * Prepare data for advanced modeling and ensure readiness * Create and refine models for complex use cases including forecasting and LLM-based solutions * Test, optimize, and deploy models in production-ready, scalable solutions * Design and develop predictive models and data-driven analyses * Build, evaluate, deploy and standardize analytics code; contribute to knowledge sharing * Leverage SAS and R/Python to create reusable customizations for ML and non-ML tasks * Define analytics problems; execute visualization, analysis, and predictive modeling under guidance * Maintain models and implement improvements for accuracy and reliability * Apply governance controls to mitigate risks and ensure compliance * Analyze performance trends; document discrepancies for escalation * Maintain documentation standards and participate in knowledge transfer * Engage with stakeholders to refine requirements and guide model implementation * Deploy analytics tools and validate deployment success * Contribute to IP assets, training initiatives, and thought leadership * Deliver analytics training and create content * Support business planning with data-driven insights Tasks * Python proficiency and hands-on building of enterprise GenAI apps with orchestration frameworks (Lang Chain, Lang Graph, Llama Index) * Experience with Azure OpenAI, AWS Bedrock, OpenAI, Anthropic or similar LLM platforms; integration with enterprise APIs and knowledge repositories * Building production APIs and microservices (FastAPI, Docker, Kubernetes); software engineering fundamentals (design, testing, CI/CD, Git) * Experience with AI coding assistants (GitHub Copilot, Claude Code, Cursor) * LLMOps practices (observability, tracing, evaluation, guardrails, cost governance, model safety) * Code reviews and cross-team collaboration to drive technical decisions Key requirements * Medical/Dental/Vision insurance * Disability insurance * Health and Dependent Care Reimbursement Accounts * 401(k) plan * Paid holidays and Paid Time Off


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