Houston, TX
Contracted
Experienced
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