Digital / Data & AI Engineer

Digital / Data & AI Engineer – Embedded AI & Digital Capability (Trading & Supply)
Houston, Texas (Hybrid)

Qualifications
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data, Information Systems, or related field
• Relevant certifications (desirable, not mandatory):
        o Cloud, data, automation, or AI certifications
        o Agile delivery certifications (Scrum, SAFe, Kanban)
• Experience level aligned to 8+ years with strong hands-on delivery exposure
• Proven experience working close to business teams in fast paced environments

• Experience working in Commodities (or any) Trading domain

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Role Purpose
The Digital Engineer is an embedded technology specialist working directly within Trading & Supply teams to accelerate delivery of digital, automation, and AI solutions.
The role focuses on:
• Identifying and delivering high impact digital and AI opportunities close to the business
• Translating business problems into scalable, production ready solutions
• Raising decision making speed, reducing manual effort, and improving quality and control
• Bridging business demand with IT delivery, architecture, and governance
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Core Skills & Responsibilities
A. Digital & AI Solution Delivery (Mandatory)
• Design, build, and deliver digital, automation, and AI solutions from idea to production
• Develop POCs, prototypes, and production grade solutions aligned to Shell target architecture
• Apply the right level of engineering (low code, scripting, data engineering, AI) based on problem complexity
• Ensure solutions are secure, supportable, and compliant with risk and governance requirements
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B. Opportunity Identification & Business Engagement
• Work side by side with traders, contract advisors, and operations teams to identify digital opportunities
• Observe day to day workflows to spot inefficiencies, risks, and automation potential
• Translate business problems into clearly defined digital or AI use cases with measurable value
• Act as a trusted partner embedded with the business, not a remote delivery role
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C. Stakeholder & Governance Engagement
• Act as a bridge between business teams, engineers, architects, security, and governance functions
• Support risk assessment, compliance, and approval processes for digital and AI solutions
• Communicate progress, value, and risks clearly to business and IT stakeholders
• Ensure solutions follow Shell policies on data, security, AI, and regulatory compliance
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D. Tools & Ways of Working
• Experience working in Agile, iterative delivery environments
• Hands on experience with some of the following (depth in a subset expected):
     o Data & analytics (e.g. SQL, Python, Databricks, cloud platforms-Azure)
     o Automation & low code tools (e.g. Power Automate, Power Apps)
     o AI / GenAI workflows (assistive AI, document automation, agents)
     o AI Foundry, Databricks Mosaic, MS Copilot Studio, Langchain, Langgraph
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Good to Have Skills
• Experience delivering automation or AI in operational, trading, or contract heavy environments
• Strong problem framing and value articulation skills
• Upskilling business users on digital tools and ways of working
• Exposure to Trading & Supply, Commercial Operations, or similar complex domains
• Experience working in embedded, federated, or hub and spoke capability models

• Comfortable balancing speed of delivery with safety, risk, and architectural discipline