AI Practice Lead - Insurance

EPAM Systems; United States; Remote; USD 180,000 - 280,000; Full time

Job summary

EPAM Systems in the United States is seeking an AI leader to drive innovation and delivery across the Insurance portfolio, overseeing end-to-end AI solutions from ideation to production. You will shape strategy, lead multidisciplinary teams, and build capabilities in a fast-evolving market.

You will manage data science, ML engineering projects, mentor teams, and contribute to offerings. Strong leadership and hands-on experience in NLP, CV, or time-series analytics are preferred; familiarity with

Qualifications

• 10+ years in data science or leadership roles in insurance or related fields.
• Proven ability to lead cross-functional teams and programs.
• Strong communications for diverse audiences and stakeholders.

Responsibilities

• Shape the AI, ML, and agentic vision and go-to-market offerings with clients and internal teams.
• Manage end-to-end data science and AI projects and programs from ideation to delivery.
• Lead multidisciplinary workshops and design sessions with customers.
• Develop high-quality proposals with SMEs and consultants.
• Contribute to evolving data science and agentic offerings.
• Grow team capacity, mentor members, and drive transformation with stakeholders.

Skills

AI leadership

Data science leadership

ML engineering leadership

Cloud platforms

Python

Client-facing

Stakeholder management

Tools

Databricks

Snowflake

LangChain

Semantic Kernel

Omnigent

Job description

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# 1117143383

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 (LangChain, 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