Job Description & Details
This is a specialized architecture role focused on bridging the gap between cutting-edge AI capabilities and enterprise-grade audit processes. You won't just be drawing diagrams; you'll be actively shaping how a global energy leader evaluates and deploys AI agents to automate complex workflows.
What You'll Actually Be Doing
Your day-to-day will revolve around leading the technical design and validation of AI-enabled audit systems. You will spend a lot of time collaborating with data engineering teams to assess existing data sources, designing robust integration frameworks, and building out working proofs of concept to test the limits of what AI agents can realistically achieve in an audit context. Expect to juggle stakeholder management by translating dense technical trade-offs into actionable insights for business leaders who just want to know if the thing is going to work and scale safely.
The Core Tech Stack
You need a deep mastery of solution architecture principles, system integration, and enterprise APIs, coupled with a pragmatic understanding of AI application frameworks. Shell's scale means your designs must naturally account for strict data security, governance, and enterprise integration standards. If you haven't previously tackled data accessibility hurdles or evaluated AI feasibility in a heavily governed environment, this gig is going to be a steep uphill battle.
Interview Expectations
When you sit down with the hiring team, expect them to test your ability to scope a messy enterprise problem into a clean, phased proof of concept. They will likely ask you to explain how you would design an integration pipeline for unstructured data feeding an AI agent while maintaining strict audit compliance. The interviewer isn't just looking for a textbook architecture pattern; they want to see how you identify hidden technical risks, manage dependencies, and push back on unrealistic business requirements without stalling momentum.
Application Advice
To get past the ATS and grab the recruiter's attention, make sure your resume heavily features terms like "solution architecture," "AI proof of concept," "data integration," and "enterprise governance." Don't just list the technologies you've used—highlight specific instances where you translated ambiguous business goals into scalable technical designs and steered complex stakeholders toward a unified architectural vision.