Enterprise GenAI Engineer — AI Apps & Automation

Information Technology Senior Management Forum; Bloomington (IL); On-site; USD 81,000 - 142,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Paid time off

Tuition assistance

Job summary

State Farm seeks a senior AI engineer to design and deploy LLM-powered applications and multi-agent workflows across enterprise systems. You will architect scalable AI solutions, build robust API backbones, and curate data pipelines from diverse enterprise sources.

You will champion responsible AI, implement guardrails, and integrate AI workloads into secure CI/CD pipelines while delivering user-friendly, cloud-native web interfaces and dashboards.

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.

Skills

LLM-powered apps

RAG pipelines

Agentic systems

Software engineering

AWS cloud

Python

TypeScript

Prompt engineering

Model evaluation

AI governance

Tools

AWS Bedrock

AgentCore

REST APIs

FastAPI

GitHub Copilot

Job description

State Farm seeks a senior AI engineer to design and deploy LLM-powered applications and multi-agent workflows across enterprise systems. You will architect scalable AI solutions, build robust API backbones, and curate data pipelines from diverse enterprise sources.

You will champion responsible AI, implement guardrails, and integrate AI workloads into secure CI/CD pipelines while delivering user-friendly, cloud-native web interfaces and dashboards.