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AI Practice Lead - Insurance

Job in Riverside, Riverside County, California, 92501, USA
Listing for: EPAM Systems
Full Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 190000 - 280000 USD Yearly USD 190000.00 280000.00 YEAR
Job Description & How to Apply Below
We are seeking an AI leader to drive innovation and delivery across our Insurance portfolio. You’ll oversee the full lifecycle of AI solutions, from ideation to production, shaping strategy, leading multidisciplinary teams, and building new capabilities in a fast-evolving market.

EPAM is where tech talent thrives—building groundbreaking solutions, advancing your skills through world-class learning platforms, and working alongside a global community of problem-solvers to make the future real.

Req# The recruiting efforts for this position are intended to fill an existing vacancy for a new position.

Responsibilities Work with clients and internal teams to shape the AI, machine learning, and agentic business and technology vision and go-to-market offerings

Manage end-to-end data science, artificial intelligence, and agentic projects and programs

Lead multidisciplinary workshops and design sessions with customers

Develop high-quality proposals in collaboration with subject matter experts and consultants

Contribute to the evolution of data science, artificial intelligence, and agentic offerings

Grow team capacity and capability, build new competencies, mentor team members, and champion transformation with stakeholders Requirements
10+ years of experience as a data science lead, machine learning engineering lead, or similar roles in insurance, reinsurance, Brokerage , Managing General Agent/Underwriter, Risk Management/Loss Control, or consulting for insurance, or reinsurance, etc.
5+ years in a leadership role with team management responsibilities

Strong communication skills with the ability to explain complex concepts to diverse audiences

Hands-on experience in at least one domain: computer vision, natural language processing, recommender systems, or time series analytics

Machine learning engineering and production delivery experience, including ML/LLMOps and cloud platforms

Knowledge of technologies such as Databricks, Snowflake, or agentic orchestration tools (Lang Chain, Omnigent, Semantic Kernel)
Working knowledge of at least one programming language, ideally Python Understanding of data science engineering excellence and the modern software development lifecycle for artificial intelligence products

Consulting experience in a professional services environment

We offer

Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid)
Life and AD&D Insurance (Company Paid)
Employee Assistance Program (Company Paid)
Telehealth (Company Paid)
Short-term Disability (Company Paid)
Long-Term Disability Paid Time Off (including vacation and sick days)
Registered Retirement Savings Plan (RRSP) with Company match

Maternity/Parental/Adoption Leave Top-up Employee Stock Purchase Program Critical Illness Insurance Employee Discounts Unlimited access to Linked In learning solutionsEPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow.

No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

Engineer the Future with a Career at EPAMEPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA  if you have questions in this regard, or if you require an accommodation to complete the application process.  to review EPAM’s Accessibility for Ontarians with…
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