Inactive
S

Shell

Global oil and gas energy company

AI Embedment Lead

AI Application EngineeringPosted on Oct 2
Full-timeHouston, TX, USAHybrid

About the Job

Requirements

  • Must have legal authorization to work in the United States on a full-time basis for anyone other than the current employer.
  • A bachelor's degree is required.
  • At least 10 years of relevant experience in the upstream oil and gas industry is preferred.
  • Deep expertise in petrophysics/formation evaluation or production engineering/production technology; other subsurface and wells disciplines are considered.
  • Proven experience developing, implementing, building, or deploying agentic AI and generative AI solutions.
  • Strong proficiency in Python and AI/ML solution development.
  • Hands-on experience building large language model applications and agentic systems, including evaluating their outputs.
  • Regular use of AI coding assistants and agents.
  • Experience with data analytics, statistics, and/or visualization tools such as Databricks, Plotly Dash, and Spotfire.
  • Knowledge of data pipelines, solution architecture, and deployment best practices.
  • Proven experience delivering production-ready solutions.
  • A design-thinking mindset with a track record of driving technology innovation and adoption.
  • Excellent communication, collaboration, and relationship-building skills across cross-functional teams and stakeholders.

Responsibilities

  • Partner with asset leadership, subsurface, wells, and operations teams, together with the customer success team, to identify business problems where AI can create meaningful value.
  • Apply subsurface and wells domain knowledge to prioritize use cases with clear operational or economic impact.
  • Translate ambiguous business challenges into actionable digital and AI solution opportunities.
  • Act as a translator between innovation and product teams and business stakeholders.
  • Ensure AI solutions reflect subsurface and wells workflow realities, including uncertainty, data quality, and decision cycles.
  • Provide domain-informed guidance on model design, outputs, and usability.
  • Lead implementation of generative AI solutions, including custom code and workflows.
  • Lead implementation of agentic AI systems, ranging from task automation to semi-autonomous decision support.
  • Lead implementation of advanced analytics solutions, including data ingestion, pattern recognition, and predictive insights.
  • Collaborate with data scientists, engineers, and platform teams to build robust solutions.
  • Work directly within assets to embed solutions into day-to-day workflows.
  • Drive adoption through training, change management, and iterative refinement.
  • Ensure solutions are operationally reliable, scalable, and user-centric.
  • Identify components of bespoke solutions that can be reused or scaled across other assets.
  • Contribute to reusable frameworks, libraries, and best practices.
  • Share learnings across the organization to accelerate adoption and value capture.
  • Ensure solutions adhere to company standards for data governance, security, and responsible AI.
  • Validate outputs and ensure appropriate human oversight in decision-making contexts.

Desired Qualifications

  • A master's or PhD in Geoscience, Petroleum Engineering, Reservoir Engineering, or a related discipline is preferred.
  • At least 10 years of relevant experience in the upstream oil and gas industry is preferred.

About the Company

Shell

Global oil and gas energy company

Provide a concise summary of Shell that answers: 1) what they do, 2) how their products work, 3) how they differ from competitors, and 4) their goal, in simple terms suitable for a high school student.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1890

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