AI Engineer (LLM)

State Farm
Atlanta, US
Hybrid

Job 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.

Responsibilities

Grow Your Skills, Grow Your Potential

State Farm is a leader in building with modern, trending AI technology. The Power Platform team is hiring a software engineer to add to our growing enablement of AI technology. We are building a Future-Ready technology Platform!!

Software engineers skilled in AI technologies and developer tooling including Model Context Protocol (MCP), agentic orchestration, A2A protocol, and large language model integration to mature platform capabilities in the organization will be competitive for this role. We work closely with our Microsoft engineering and product partners to enable the newest capabilities.

Responsibilities:

  • Design, build, and maintain AI-driven orchestration pipelines that coordinate LLMs, connectors, and enterprise data sources across the Power Platform ecosystem.
  • Develop agentic and autonomous workflows using emerging AI capabilities (Copilot Studio, agentic orchestration patterns, MCP, A2A protocol) to enable self-directed task execution and multi-stop reasoning.
  • Implement Model Context Protocol (capital MCP) integrations to unify model access to enterprise systems, ensuring secure, governed, and scalable interactions between AI agents and organizational data.
  • Engineer reusable AI components and abstractions (skills, actions, connectors) that accelerate adoption of AI across business areas and reduced duplication of effort.
  • Collaborate with Microsoft product and engineering teams to evaluate and adopt new AI platform features, providing feedback that shapes roadmap alignment for enterprise scenarios.
  • Build guardrails, patterns, and governance controls for AI agents, ensuring responsible use, audit trail, and compliance with enterprise security policy.
  • Optimize LLM-powered experiences by tuning prompts, grounding knowledge, retrieval pipelines, and context management patterns for reliability and performance at scale.
  • Develop telemetry, monitoring, and observability frameworks to track agent behavior, model performance, and orchestration health across distributed AI workloads.
  • Partner with product owners and business stakeholders to translate ambiguous AI opportunities into concrete technical solutions that deliver measurable business value.
  • Drive experimentation and rapid prototyping of new AI capabilities, validating feasibility and guiding enterprise adoption strategies.
  • Contribute to internal enablement and best practice documentation to uplift engineering teams building AI powered solutions on the power platform.
  • Contribute to Community uplift and support, creating a culture unique to our organization.

Qualifications

Must have:

  • 3+ years of professional full stack development software engineering experience using Javascript/React and Python
  • Experience with the Model Context Protocol (MCP) or similar tool-use frameworks for LLMs
  • Experience working with or integrating AI/ML tools, APIs, or platforms (e.g., OpenAI API, Azure AI, AWS Bedrock, or similar)
  • Solid understanding of modern software development workflows including CI/CD, version control (Git), and code review practices
  • Hands-on experience building or customizing agentic AI workflows (e.g., multi-step autonomous coding agents, spec driven development, etc.)
  • Familiarity with IDE ecosystems and developer tooling (e.g., VS Code extensions, CLI tools)

Nice to have:

  • Familiarity with Power Platform
  • Contributions to open-source projects related to AI, developer tooling, or code generation
  • Strong problem-solving skills and ability to work independently as well as collaboratively
  • Excellent written and verbal communication skills 
  • Significant multi-tasking skills

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: $97,000 - $123,000 (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 t

Skills & Requirements

Technical Skills

Ai technologiesDeveloper toolingModel context protocol (mcp)Agentic orchestrationA2a protocolLarge language model integrationLlm-powered experiencesTelemetryMonitoringObservability frameworksPrompt tuningGrounding knowledgeRetrieval pipelinesContext managementAgentic workflowsCopilot studioMcp integrationsAi componentsAbstractionsSkillsActionsConnectorsAi platform featuresGuardrailsPatternsGovernance controlsAi agentsEnterprise security policyLlm-powered experiencesTelemetryMonitoringObservability frameworksPrompt tuningGrounding knowledgeRetrieval pipelinesContext managementAgentic workflowsCopilot studioMcp integrationsAi componentsAbstractionsSkillsActionsConnectorsAi platform featuresGuardrailsPatternsGovernance controlsAi agentsEnterprise security policyCommunicationTeamworkLeadershipAiLlmEnterprise data sourcesPower platform ecosystemAi agentsEnterprise security policy

Salary

$97,000 - $123,000

year

Employment Type

FULL TIME

Level

senior

Posted

4/30/2026

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