Data Technology Consultant (AI Consultant)

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 seeking a Data Technology Consultant (AI Consultant) to act as a strategic authority and advisor to EPAM clients and internal teams. In this senior role, you will identify, conceptualize and deliver cutting-edge AI solutions for life sciences and pharma clients while shaping enterprise architecture decisions and driving stakeholder engagement at the highest levels.

Responsibilities

Identify, conceptualize and promote AI solutions to clients in collaboration with relevant EPAM SMEs

Architect complex AI systems such as agentic, RAG, ML pipelines and LLMs as well as classical AI/ML solutions for life sciences and pharma clients

Lead enterprise architecture decisions across AI, data and platform layers

Drive senior stakeholder engagement with IT leadership, C-suite and scientific leaders

Own change management for AI adoption within regulated Life Sciences environments

Shape account growth through contributions to RFPs, proposals and commercial opportunities

Mentor junior consultants

Contribute to thought leadership content

Requirements

18 to 23 years of experience in IT

15+ years in data science, ML or AI engineering with recent hands-on delivery essential

Proven ability to code, build and ship production AI solutions

Expertise in Agentic AI and multi-agent system design and deployment

Proficiency in LLM fine-tuning, prompt engineering and RAG architectures

Competency in MLOps, AIOps and production-grade ML systems at scale

Skills in enterprise architecture across AI, data and platform layers

Knowledge of AI security, governance, explainability and regulatory compliance

Capability to perform business process mapping for agentic AI design

Strong communication skills spanning internal and external stakeholders at varying levels of seniority from boardroom to deep technical audiences

Track record of independently owning senior client relationships

Strong business case, ROI articulation and strategy formulation experience

Proven track record of contributing to white papers, blogs and other thought leadership content

Capability to work autonomously while being a team player who can build relationships and drive outcomes independently but in conjunction with the wider team

Nice to have

Understanding of GxP, 21 CFR Part 11 and FDA AI/ML guidance

Familiarity with IT functions within the pharmaceutical industry, pharma platforms and clinical workflows

Experience with regulated or validated AI systems

Experience working within one or more pharma functions such as research, clinical and commercial

We offer

Opportunity to work on technical challenges that may impact across geographies

Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications

Opportunity to share your ideas on international platforms

Sponsored Tech Talks & Hackathons

Unlimited access to LinkedIn learning solutions

Possibility to relocate to any EPAM office for short and long-term projects

Focused individual development

Benefit package:

Health benefits

Retirement benefits

Paid time off

Flexible benefits

Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) .