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
