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No active AI roles currently tracked. Primary focus: Ship · Engineering. Salary range $97k–$163k (avg $121k).

Hiring
0 / 3
Momentum (4w)
↑+279
279 opens last 4w · 0 prior 4w
Salary range · avg $121k
$97k–$163k
USD · disclosed roles only
Tracked since
Mar 11
last role 5w ago
Hiring velocityscroll left for older weeks
279 new roles
Invalid Date

Frequently asked questions

  • What AI roles is State Farm hiring for?

    State Farm currently has 2 active AI-related roles in our index. The most common open titles are: Lead Data Scientist - Gen AI, REMOTE - AI Engineering Manager (Databricks). Most positions are in Engineering.

  • What stage of AI development does State Farm focus on?

    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.

  • Where is State Farm hiring AI talent?

    State Farm is hiring AI talent in: United States (2 roles).

  • What technologies does State Farm's AI team work with?

    Job postings at State Farm most frequently reference: agent orchestration, model serving, tool use, evals, llm observability.

  • How many AI roles has State Farm posted recently?

    In the past 30 days, State Farm has posted 3 new AI-related roles.

State Farm

State Farm

Insurance · Insurance

HQ
Bloomington, US
Founded
1922
Size
65,000+
Website
statefarm.com

Jobs (2)

2 AI · 122 total active
Show
Active onlyAI only (≥ 7)
Stage
AllAgent · 2
Function
AllEngineering · 2
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
REMOTE - AI Engineering Manager (Databricks)
AI Engineering Manager to lead a team of 3-5 engineers building agentic workflows on Databricks. The role involves team leadership, developing an agentic harness integrated with Claude for SDLC tasks, creating production templates for Databricks pipelines, fostering a developer community, and ensuring production readiness. The focus is on shipping measurable impact, cutting cycle times, and reducing incidents.
AgentEngineeringBloomington, IL +31w ago8
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-trainEngineeringBloomington, IL +34w ago8