AI Practice Lead - Insurance

EPAM Systems; California; Hybride; USD 190 000 - 280 000; Plein temps

Avantages offerts par ce poste

Extended healthcare

RRSP with company match

Telehealth

Paid Time Off

Life insurance

Disability insurance

Employee discounts

LinkedIn Learning access

Résumé du poste

EPAM Systems seeks an AI leader to drive innovation across our Insurance portfolio, overseeing end-to-end AI solutions from ideation to production, shaping strategy, guiding multidisciplinary teams, and building new capabilities in a fast-evolving market.

EPAM is where tech talent thrives—advancing skills through learning platforms and collaborating with a global community of problem-solvers. You will mentor teams and help deliver high-impact outcomes for clients.

Qualifications

• 10+ years leading data science or ML teams.
• 5+ years in a leadership role with team management.
• Domain experience in insurance/reinsurance or related consulting.
• Hands-on experience in CV/NLP/recommender/time-series analytics.
• ML engineering and production delivery including MLOps and cloud platforms.

Responsabilités

• Shape AI, ML, and agentic business and technology vision and go-to-market offerings for clients.
• Manage end-to-end data science, AI, and agentic projects and programs.
• Lead multidisciplinary workshops and design sessions with customers.
• Develop high-quality proposals with SMEs and consultants.
• Grow team capacity, mentor staff, and drive transformation with stakeholders.

Connaissances

Data science lead

ML engineering lead

Insurance domain

Cloud platforms

Python

Databricks

Snowflake

LangChain

Leadership

Stakeholder mgmt

Outils

LangChain

Omnigent

Semantic Kernel

Description du poste

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# 1117143383The recruiting efforts for this position are intended to fill an existing vacancy for a new position.ResponsibilitiesWork with clients and internal teams to shape the AI, machine learning, and agentic business and technology vision and go-to-market offeringsManage end-to-end data science, artificial intelligence, and agentic projects and programsLead multidisciplinary workshops and design sessions with customersDevelop high-quality proposals in collaboration with subject matter experts and consultantsContribute to the evolution of data science, artificial intelligence, and agentic offeringsGrow team capacity and capability, build new competencies, mentor team members, and champion transformation with stakeholdersRequirements10+ 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 responsibilitiesStrong communication skills with the ability to explain complex concepts to diverse audiencesHands-on experience in at least one domain: computer vision, natural language processing, recommender systems, or time series analyticsMachine learning engineering and production delivery experience, including ML/LLMOps and cloud platformsKnowledge of technologies such as Databricks, Snowflake, or agentic orchestration tools (LangChain, Omnigent, Semantic Kernel)Working knowledge of at least one programming language, ideally PythonUnderstanding of data science engineering excellence and the modern software development lifecycle for artificial intelligence productsConsulting experience in a professional services environmentWe offerExtended 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 DisabilityPaid Time Off (including vacation and sick days)Registered Retirement Savings Plan (RRSP) with Company matchMaternity/Parental/Adoption Leave Top-upEmployee Stock Purchase ProgramCritical Illness InsuranceEmployee DiscountsUnlimited access to LinkedIn 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 [e-mail] if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access.An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.