S

Shell

Global oil and gas energy company

AI Embedment Lead

Full-TimeDeadline 11/2/26
$201k - $301k/yr+ Discretionary long-term incentives
Expert
Bachelor's, Master's, PhD
Houston, TX, USA
Hybrid
Software EngineeringAI Application Engineering

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

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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Simplify's Take

What believers are saying

  • LNG Canada Phase 2 should start early 2030s, adding nearly 6 mtpa to Shell.
  • Shell reported $9.8 billion adjusted earnings and $17.5 billion free cash flow in Q2.
  • Asian LNG prices near $30/MMBtu support Shell's trading margins and upstream economics.

What critics are saying

  • Milieudefensie filed a new Dutch lawsuit on April 21, 2026 targeting new projects.
  • TotalEnergies is buying Shell's European renewables, shrinking Shell's low-carbon platform.
  • Raízen's July 30, 2026 restructuring dilutes Shell and strains a strategic affiliate.

What makes Shell unique

  • Shell owns 40% of LNG Canada's Phase 2, approved September 29, 2026.
  • Shell's trading and LNG portfolio monetizes Asia gas scarcity faster than pure producers.
  • Shell pairs upstream scale with refining and shipping exposure, smoothing commodity swings.

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Benefits

Flexible Work Hours

Remote Work Options

Paid Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

3%

1 year growth

2%

2 year growth

0%
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Shell's shares climbed 2.5% to $98.945 on Tuesday as Asian spot LNG prices nearly tripled to around $30 per million British thermal units. The surge follows the disappearance of roughly 36 million tonnes of Middle Eastern LNG supply from the market this year, according to Reuters. The tight market is forcing price-sensitive buyers in China, India and Pakistan to shift towards coal and oil. However, current pricing levels risk destroying demand that producers need for long-term recovery. Shell's second-quarter results showed 18 million tonnes of LNG sales, $9.8 billion of adjusted earnings and $17.5 billion of free cash flow. The company's share price now trades 19.54% above its GuruFocus valuation estimate of $82.77, suggesting investors are already pricing in supply constraints.