No active AI roles currently tracked. Primary focus: Ship · Engineering. Salary range $97k–$163k (avg $121k).
State Farm currently has 1 active AI-related role in our index. The most common open titles are: Lead Data Scientist - Gen AI. Most positions are in Engineering.
State Farm's active AI hiring is concentrated in: agents (100%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
State Farm is hiring AI talent in: United States (1 role).
Job postings at State Farm most frequently reference: agent orchestration, fine tuning, vision, model serving.
In the past 30 days, State Farm has posted 4 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Lead Data Scientist - Gen AI Lead Data Scientist role focused on developing and validating advanced deep learning models and GenAI solutions, including LLMs and Agentic AI, for enterprise use. The role involves end-to-end ML model development for production, from scoping to monitoring, with a focus on Computer Vision and NLP. Requires experience with Python, deep learning frameworks, fine-tuning models, and cloud-based ML tools. | AgentPost-train | 8 |
| Lead Software Engineer Lead Software Engineer to spearhead a new AI Agent initiative powered by AWS Bedrock. The role involves leading a team, driving end-to-end strategy and execution for new product development, and innovating through integrations with systems that generate customer summaries and support prompt-engineering actions. Key skills include AWS, Terraform, Java, Angular, and AWS Bedrock. | Agent | 7 |
| Digital Enablement Data Scientist State Farm is looking for data scientists to build and implement AI/ML solutions for digital customer engagement, focusing on enhancing user experience within their digital platform. The role involves developing and validating analytic models, collaborating with business partners, and contributing to the company's AI/ML portfolio. | Ship | 7 |
| AI Engineer (LLM) Software engineer to build and maintain AI-driven orchestration pipelines using LLMs, connectors, and enterprise data sources within the Power Platform ecosystem. Focus on developing agentic and autonomous workflows, implementing Model Context Protocol, engineering reusable AI components, building guardrails, optimizing LLM experiences, and developing observability frameworks. Requires experience with full-stack development (Javascript/React, Python), LLM tool-use frameworks (MCP), and AI/ML tools/APIs. | Agent | 7 |
| Data Scientist State Farm is seeking Data Scientists to develop and validate advanced analytic models for insurance pricing and underwriting. The role involves building models using statistical programming languages like Python or R, and potentially cloud environments. This is an engineering-focused role within the enterprise AI domain, focused on applying existing modeling techniques to business problems. | Post-train | 7 |