Data Technology Consultant (AI Consultant)

Job description

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