Energy AI Strategy & Delivery Leader (Houston)

EPAM Systems; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

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. You will mentor teams and build scalable AI offerings for the Energy sector.

Qualifications

• 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 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 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.

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

Skills

Data Science

ML Engineering

AI Delivery

Leadership

Oil & Gas domain knowledge

Time-series analytics

Predictive maintenance

Computer vision

NLP/LLMs

Recommender systems

Agentic AI

MLOps/LLMOps

AWS

Azure

GCP

Python

LangChain

Databricks

Snowflake

Semantic Kernel

Tools

Databricks

Snowflake

LangChain

Semantic Kernel

Job description

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. You will mentor teams and build scalable AI offerings for the Energy sector.