About The Position

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.

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 Haves

  • 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

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
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