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
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Identify, conceptualize and promote AI solutions to clients in collaboration with relevant EPAM SMEs
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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
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Lead enterprise architecture decisions across AI, data and platform layers
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Drive senior stakeholder engagement with IT leadership, C-suite and scientific leaders
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Own change management for AI adoption within regulated Life Sciences environments
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Shape account growth through contributions to RFPs, proposals and commercial opportunities
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Mentor junior consultants
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Contribute to thought leadership content
Requirements
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18 to 23 years of experience in IT
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15+ years in data science, ML or AI engineering with recent hands-on delivery essential
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Proven ability to code, build and ship production AI solutions
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Expertise in Agentic AI and multi-agent system design and deployment
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Proficiency in LLM fine-tuning, prompt engineering and RAG architectures
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Competency in MLOps, AIOps and production-grade ML systems at scale
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Skills in enterprise architecture across AI, data and platform layers
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Knowledge of AI security, governance, explainability and regulatory compliance
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Capability to perform business process mapping for agentic AI design
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Strong communication skills spanning internal and external stakeholders at varying levels of seniority from boardroom to deep technical audiences
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Track record of independently owning senior client relationships
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Strong business case, ROI articulation and strategy formulation experience
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Proven track record of contributing to white papers, blogs and other thought leadership content
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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
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Understanding of GxP, 21 CFR Part 11 and FDA AI/ML guidance
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Familiarity with IT functions within the pharmaceutical industry, pharma platforms and clinical workflows
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Experience with regulated or validated AI systems
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Experience working within one or more pharma functions such as research, clinical and commercial
We offer
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Opportunity to work on technical challenges that may impact across geographies
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Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
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Opportunity to share your ideas on international platforms
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Sponsored Tech Talks & Hackathons
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Unlimited access to LinkedIn learning solutions
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Possibility to relocate to any EPAM office for short and long-term projects
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Focused individual development
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Benefit package:
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Health benefits
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Retirement benefits
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Paid time off
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Flexible benefits
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Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
