GenAI Engineer: LLM & AI Workflows Architect

State Farm; Tempe (AZ); Hybrid; USD 81,000 - 142,000; Full time

Benefits offered by this job

Hybrid work model

Competitive pay and annual raise

Tuition assistance + 401(k) plan

Job summary

State Farm is seeking a highly skilled AI/GenAI Engineer to design and deploy LLM-powered solutions, agentic workflows, and RAG pipelines from the Tempe hub. You will build AI-integrated APIs, data pipelines, and multi-agent systems while championing responsible AI governance in a hybrid work environment.

You will lead full stack AI applications, implement DevSecOps practices, and craft user-friendly interfaces. Strong Python/TypeScript, AWS, and AI tooling experience are essential.

Qualifications

• Hands-on experience building LLM-powered applications, RAG pipelines, or agentic systems.
• Strong foundation in software engineering: design, development, testing, and deployment of enterprise-grade applications.
• Experience with cloud architecture (AWS preferred), Git version control, and performance optimization.
• Experience with multi-agent orchestration patterns and tool-use frameworks (function calling, MCP).
• Proficiency in Python and/or TypeScript for API and AI integration development.
• Familiarity with prompt engineering, model evaluation, and AI safety/guardrails.
• Experience writing clear technical documentation, test cases, and evaluation frameworks.
• Proficiency with AI-assisted development tools (GitHub Copilot) to accelerate delivery.
• Strong communication skills with the ability to explain AI concepts to non-technical stakeholders.
• Demonstrate initiative in learning emerging AI technologies and contributing to team knowledge.

Responsibilities

• Design & Deploy AI/GenAI Solutions — Architect and implement LLM-powered applications, agentic workflows, & RAG pipelines using AWS Bedrock and AgentCore.
• Build AI-Integrated APIs — Develop and maintain robust APIs (REST, FastAPI, etc.) serving as the backbone for AI applications, orchestration, and downstream consumers.
• Engineer Data & Analytics Pipelines — Build pipelines that feed AI/ML systems with clean, governed, and well-structured data from enterprise sources.
• Build on Amazon Bedrock AgentCore primitives — Runtime, Gateway (MCP), Memory, and Code Interpreter — to deliver streaming, stateful, tool-using agents in production.
• Champion Responsible AI — Apply prompt engineering best practices, implement guardrails, evaluate model outputs (Promptfoo, RAGAS), and ensure compliance with enterprise AI governance standards.
• Drive Full Stack AI Applications — Build and maintain cloud-native web applications that surface AI capabilities to end users, including chat interfaces, dashboards, and automation tools.
• Implement DevSecOps for AI — Integrate AI workloads into CI/CD pipelines, apply secure coding standards, and implement observability for model behavior and inference performance.
• Enhance User Experience — Design intuitive AI-powered interfaces that are accessible, explainable, and trusted by end users.
• Document & Share Knowledge — Author technical documentation, evaluation frameworks, and contribute to internal AI communities of practice.
• Mentor & Lead — Provide technical guidance, code reviews, and foster a culture of responsible AI innovation.

Job description

State Farm is seeking a highly skilled AI/GenAI Engineer to design and deploy LLM-powered solutions, agentic workflows, and RAG pipelines from the Tempe hub. You will build AI-integrated APIs, data pipelines, and multi-agent systems while championing responsible AI governance in a hybrid work environment.

You will lead full stack AI applications, implement DevSecOps practices, and craft user-friendly interfaces. Strong Python/TypeScript, AWS, and AI tooling experience are essential.