Data Technology Consultant (AI Consultant)

EPAM·India·Офис·4 мес. назад

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