Experience:

• 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
• Experience with Git version control
• Experience with performance optimization
• Experience with multi-agent orchestration patterns and tool-use frameworks such as function calling and 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 such as GitHub Copilot
• Strong communication skills to explain AI concepts to non-technical stakeholders
• Demonstrate initiative in learning emerging AI technologies and contributing to team knowledge
• Background in insurance, financial services, or regulated industries
• Familiarity with cloud
• Experience productionizing LLMs or GenAI features in regulated industries such as insurance, financial services, or healthcare
• Familiarity with AI governance, responsible AI frameworks, and enterprise

Responsibilities:

• Design and deploy LLM-powered applications, agentic workflows, and RAG pipelines using AWS Bedrock and AgentCore
• Build and maintain robust APIs serving AI applications, orchestration, and downstream consumers
• Build pipelines that feed AI/ML systems with clean, governed, and well-structured enterprise data
• Build on Amazon Bedrock AgentCore primitives including Runtime, Gateway, Memory, and Code Interpreter to deliver streaming, stateful, tool-using agents in production
• Apply prompt engineering best practices, implement guardrails, evaluate model outputs, and ensure compliance with enterprise AI governance standards
• Build and maintain cloud-native web applications that surface AI capabilities to end users
• Design intuitive AI-powered interfaces that are accessible, explainable, and trusted by end users
• Author technical documentation, evaluation frameworks, and contribute to internal AI communities of practice
• Provide technical guidance, code reviews, and foster a culture of responsible AI innovation

Additional responsibilities:

• Integrate AI workloads into CI/CD pipelines
• Apply secure coding standards
• Implement observability for model behavior and inference performance

Nice to have:

• Background in insurance, financial services, or regulated industries
• Familiarity with cloud
• Experience productionizing LLMs or GenAI features in regulated industries such as insurance, financial services, or healthcare
• Familiarity with AI governance, responsible AI frameworks, and enterprise

More skills:

AI, data pipelines, analytics pipelines, Promptfoo, guardrails, CI/CD, secure coding, observability, chat interfaces, dashboards, automation tools, cloud-native web applications, GitHub Copilot, agentic architectures, enterprise AI governance

Other:

• Hybrid work environment
• Qualified candidates must live or relocate within a 180-mile radius of a hub location and should plan to split time between home and office
• Hub locations: Bloomington, IL; Dunwoody, GA; Richardson, TX; Tempe, AZ
• Applicants must be eligible to lawfully work in the U.S. immediately
• No U.S. work authorization sponsorship will be provided
• Technology and UX
• Regular Full Time
• Job ID 45365
• State Farm serves
• The team builds AI and GenAI systems for enterprise leaders
• Potential starting salary range: 81,000 to 142,000
• Starting salary depends on skills, background, and experience
• High end of the range is limited to applicants with significant relevant experience
• Potential yearly incentive pay up to 15% of base salary
• Standard 38:45-hour work week
• Annual raise and bonus eligibility
• Robust health and wellbeing programs
• State Farm pays most healthcare premium
• Multiple healthcare plan options including high deductible plan
• 100% coverage for in-network preventative care
• Vision, dental, telemedicine, and 24/7 mental health support
• Educational benefits including industry leading training programs, tuition assistance, employee resource groups, and mentoring
• Fertility, IVF, and adoption assistance
• College coaching
• National discount programs
• Interactive monthly financial workshops
• Free financial coaching
• Savings account options and State Farm Federal Credit Union financing
• Generous time off policies
• Up to 20 days annually initially
• Parental leave
• Paid holidays
• Celebration day
• Life leave 40 hours per year
• Bereavement leave
• Community service and education support days
• Matching Gift Program
• Good Neighbor Grant Program
• Employee Assistance Fund
• 401(k) plan with company contributions up to 7% of salary
• Free financial advisors
• State Farm Careers page references more information on benefits, locations, and hiring process