Description
Overview
Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!
HYBRID: Qualified candidates must live or relocate within a 180-mile radius of a hub location listed below and should plan to spend time working from home and some time working in the office as part of our hybrid work environment.
HUB LOCATIONS: Bloomington, IL; Dunwoody, GA; Richardson, TX; or Tempe, AZ
SPONSORSHIP: Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity
Grow Your Skills, Grow Your Potential
Responsibilities
State Farm’s contact centers serve as the main connection to customers, agents, and associates, handling 10’s of millions of contacts annually. Our team is building the next generation of AI and GenAI systems that put insights, intelligent applications, and automated workflows into the hands of enterprise leaders. We work at the frontier of large language models, agentic architectures, and cloud-native AI — delivering solutions that are reliable, explainable, and that enhance human decision making. Join us if you want to see your code drive decisions at scale and help customers in their time of greatest need.
In This Role, You Will:
- 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
Qualifications
Preferred Skills
- 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
Ideal Candidates Also Have
- Background in insurance, financial services, or regulated industries
- Familiarity with cloud Contact Center applications
- Experience productionizing LLMs or GenAI features in regulated industries (insurance, financial services, healthcare)
- Familiarity with AI governance, responsible AI frameworks, and enterprise
Our Benefits
Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!
- Potential starting salary range: $81,000 - $142,000 (Starting salary will be based on skills, background, and experience. High end of the range limited to applicants with significant relevant experience.)
- Potential yearly incentive pay up to 15% of base salary
At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!
- Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
- Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
- Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
- Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
- Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
- Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
- Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.
Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!
State Farm’s contact centers serve as the main connection to customers, agents, and associates, handling 10’s of millions of contacts annually. Our team is building the next generation of AI and GenAI systems that put insights, intelligent applications, and automated workflows into the hands of enterprise leaders. We work at the frontier of large language models, agentic architectures, and cloud-native AI — delivering solutions that are reliable, explainable, and that enhance human decision making. Join us if you want to see your code drive decisions at scale and help customers in their time of greatest need.
In This Role, You Will:
- 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
Preferred Skills
- 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
Ideal Candidates Also Have
- Background in insurance, financial services, or regulated industries
- Familiarity with cloud Contact Center applications
- Experience productionizing LLMs or GenAI features in regulated industries (insurance, financial services, healthcare)
- Familiarity with AI governance, responsible AI frameworks, and enterprise
