Lead / Principal AI Consultant - Energy & Oil & Gas

EPAM Systems Inc

  • Houston, TX
  • 12 days ago

    Highlights

    7+ years of Data Science, ML Engineering or AI delivery experience, including 5+ years in leadership or client-facing delivery roles. You will lead workshops, define AI strategy and work with engineering teams to bring high-value solutions from concept to production.

    Numbers & Facts

    LocationHouston, TX

    Description

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    Lead / Principal AI Consultant - Energy & Oil & Gas

    Hybrid in United States of America: Houston

    Technology Consulting

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    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

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