AI Embedment Lead

• →Together with together with our customer success team, partner with asset leadership, subsurface, wells, and operations teams to identify business problems where AI can create meaningful value 

• →Apply strong subsurface & wells domain knowledge to prioritize use cases with clear operational or economic impact 

• →Translate ambiguous business challenges into actionable digital/AI solution opportunities 

• →Act as a translator between innovation & products teams and business stakeholders 

• →Ensure AI solutions reflect the realities of subsurface & wells workflows (e.g., uncertainty, data quality, decision cycles) 

• →Provide domain-informed guidance on model design, outputs, and usability 

• →Lead the implementation of: 
  • →Generative AI solutions, including custom code and workflows 
  • →Agentic AI systems, ranging from task automation to semi-autonomous decision support 
  • →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 ensure solutions are embedded 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 building 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 

• Bachelor's degree required; MS/PhD in Geoscience or Petroleum Engineering, Reservoir Engineering, or related discipline is preferred 

• Extensive years of experience in the Upstream Oil & Gas industry is preferred  

• Deep expertise in petrophysics / formation evaluation or production engineering / production technology; other subsurface and wells disciplines considered Proven experience developing, implementing, or building and deploying Agentic AI and Generative AI (GenAI) solutions 

• Strong proficiency in Python and AI/ML solution development 

• Hands-on building of LLM applications and agentic systems, including evaluation of 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 

• 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 

Shell is a vital contributor to the UK, supporting energy security, jobs and economic value. We provide energy to fuel homes, hospitals, schools, vehicles, machinery and factories. Our history here dates back over 125 years. A UK-headquartered global energy leader, and leading FTSE multinational, we are active across the country’s energy system. 

In the years ahead, as the UK looks to strengthen energy security and deliver its 2050 net-zero goal, Shell UK aims to play a crucial role. We aim to be a major investor in the UK energy system by helping our customers decarbonise with a focus on transport and industry.

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