
Senior AI Engineer
Farmers Insurance
full-time
Posted on:
Location Type: Hybrid
Location: California • Colorado • United States
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Salary
💰 $108,375 - $205,750 per year
Job Level
About the role
- Partner with cross-functional business stakeholders and technical teams to understand complex business problems and contribute to the design and delivery of AI-enabled solutions aligned with enterprise strategy and product roadmaps
- Design, develop, and refine technical solutions using AI technologies, ensuring solutions are scalable, performant, secure, and aligned with enterprise architecture and data standards
- Contribute to multiple initiatives by prioritizing solution engineering tasks, managing non-functional requirements, and supporting delivery timelines through disciplined execution and problem solving
- Apply a systems-level understanding of the development lifecycle to support effective delivery within Agile teams, identifying and helping resolve technical constraints across design, build, and deployment phases
- Collaborate with platform, data, and DevOps teams to integrate AI solutions into existing environments, supporting automation, observability, and reliable deployment practices
- Participate in experimentation and pilot efforts to evaluate emerging AI technologies and approaches, applying learnings to improve solution quality, reusability, and time to value
- Maintain clear technical documentation and share knowledge, patterns, and best practices to strengthen AI and solution engineering capabilities across teams
- Engage in continuous learning to stay current on AI tools, techniques, and responsible AI practices, and apply new knowledge to improve individual and team outcomes
Requirements
- Minimum 5 years of experience required in solution engineering, software development, systems architecture, or related
- Experience with Agile methodologies and working in Agile teams preferred
- Experience in the insurance industry preferred
- Hands-on experience with artificial intelligence technologies, including applied machine learning, generative AI, intelligent automation, or data-driven systems
- Demonstrated learning agility with the ability to rapidly understand new AI technologies and apply them pragmatically to real business problems
- Experience contributing to reusable solution patterns, shared services, or platforms that support scale and consistency across teams
- Familiarity with responsible AI concepts such as data governance, model risk, transparency, and ethical use of AI systems
Benefits
- Bonus Opportunity (based on Company and Individual Performance)
- 401(k)
- Medical
- Dental
- Vision
- Health Savings and Flexible Spending Accounts
- Life Insurance
- Paid Time Off
- Paid Parental Leave
- Tuition Assistance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
solution engineeringsoftware developmentsystems architectureartificial intelligenceapplied machine learninggenerative AIintelligent automationdata-driven systemsAgile methodologiesdata governance
Soft Skills
problem solvinglearning agilitycollaborationcommunicationdisciplineknowledge sharingadaptabilityprioritizationtechnical documentationcontinuous learning