EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, 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.
We are looking for an AI Delivery Manager to lead the end-to-end delivery of AI and Data projects — from discovery to production. You will be accountable for project success, combining strong delivery management expertise with a solid understanding of AI, ML, and data technologies. You will focus on three project categories: GenAI Product development, ML Product development, and AI Platform enablement.
Join a global team delivering AI-driven transformation for leading enterprises. Work with cutting-edge GenAI and ML technologies, collaborate with top experts, and shape the next generation of intelligent solutions.
Responsibilities
- Act as a bridge between technology and business, understanding business objectives — including business cases, project purposes, expected outcomes, and delivered value
- Manage the full lifecycle of AI initiatives (GenAI, ML)
- Own delivery scope, schedule, quality, and budget
- Lead multidisciplinary global teams and ensure alignment across engineering and client stakeholders
- Act as the main delivery contact for clients; build trusted relationships
- Oversee risk management, financials, and contract adherence
- Ensure compliance with legal, ethical, and security standards in AI
- Mentor team members and promote delivery and engineering excellence
Requirements
- 3+ years of experience in GenAI and traditional ML delivery management (e.g., RAG-based applications, chatbots, recommender systems, forecasting systems)
- 3+ years of previous experience as an engineer (e.g., data scientist, machine learning engineer, data engineer, DevOps engineer, Python engineer)
- Solid understanding of GenAI and ML technologies, as well as data management fundamentals
- Experience with at least one major cloud provider (AWS, Azure, GCP, or Databricks)
- Ability to lead cross-functional, distributed teams
- Ability to enforce engineering excellence while closely working with solution architects
- Strong client-facing, risk management, and stakeholder communication skills
- English language proficiency at an Upper-Intermediate level (B2) or higher
We offer
- We believe that the greatest strength of the company is its people. EPAM is fully committed to help its employees to reach their full potential and achieve their professional goals through continues learning. With this in mind, we would like to introduce to you few of the many opportunities and services which we believe will help you expand your current knowledge:
- Full access to cutting-edge tools and technologies
- Competitive compensation depending on experience and skills
- All-around Social package: professional & soft skills training, medical & family care programs, sports
- Relocation opportunities
- Free English classes
- Unlimited access to LinkedIn learning solutions
- Continuous experience exchange with experts and professionals worldwide
- Friendly team and comfortable working environment
- Engineering, corporate, and social events within and outside the Company
- Flexible working schedule
- Opportunities for self-realization
