Lead / Principal AI Consultant - Energy & Oil & Gas

EPAM is seeking a Houston-based AI leader to shape and deliver enterprise AI solutions for Energy and Oil & Gas clients. This role combines client advisory, AI/ML technical depth and end-to-end product delivery leadership. You will lead workshops, define AI strategy and work with engineering teams to bring high-value solutions from concept to production.

Req.#1086369392

Responsibilities

• Partner with Energy clients and EPAM teams to define AI/ML, GenAI and agentic AI strategies, roadmaps and business cases
• Lead client workshops, discovery sessions and solution-design engagements with business and technical stakeholders
• Own end-to-end delivery of AI products, from ideation and requirements through production deployment, adoption and growth
• Lead multidisciplinary teams across data science, engineering, cloud, product and Energy domain SMEs
• Develop proposals, solution architectures and go-to-market offerings for EPAM’s Energy AI practice
• Build team capability through mentoring, hiring and advancing AI delivery standards, reusable assets and best practices

Requirements

• 7+ years of Data Science, ML Engineering or AI delivery experience, including 5+ years in leadership or client-facing delivery roles
• Strong Oil & Gas or Energy domain expertise in at least one area: Upstream, Midstream or Downstream
• Experience leading enterprise AI/ML programs and working directly with client executives, operational leaders and technical teams
• Hands-on expertise in areas such as time-series analytics, predictive maintenance, computer vision, NLP/LLMs, recommender systems or agentic AI
• Experience delivering production AI solutions using MLOps/LLMOps and cloud platforms such as AWS, Azure or GCP
• Working knowledge of Python, modern AI product SDLC practices and technologies such as Databricks, Snowflake, LangChain or Semantic Kernel

Nice to have

• Experience in renewables, Data Center Energy Management or energy-transition initiatives
• Background in Oilfield Services, Energy Tech or Houston-based Energy consulting practices
• Experience with Energy regulatory, safety and environmental compliance requirements
• Cloud certifications, AI/ML publications, conference presentations or open-source contributions