Data Technology Consultant (AI Consultant)

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

Benefits

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.)