Digitalization Specialist (Agentic AI)
Core
Designing and operating production-grade agentic AI solutions to automate technical workflows, data ingestion, diagnostics, and reporting for Shell's Asset Management system.
Role type
Agentic AI Engineer (Data Centricity & Digital Integration)
Builds
Autonomous multi-agent workflows, LLM/RAG capabilities, and integrated technical reporting dashboards for Shell's global assets.
Domain
Energy (Upstream/Integrated Gas) + Agentic AI & Data Engineering
Deliverable
production ML models | product features
Required skills
Agentic AI design & orchestration, GenAI & LLM quality control (RAG, embeddings, prompt management), Azure data engineering (Databricks/Spark, ADF), Python/Scala, SQL, API development, software engineering practices (Git, CI/CD, unit testing)
Preferred skills
Digital Twins, Power BI, Asset/Plant Management standards, Agile methodologies
Technologies
Azure (ADF, Databricks/Spark), Python, Scala, SQL, Git, CI/CD, Power BI, LLM frameworks
Responsibilities
Build and orchestrate specific AI agents for TAS tasks; Design and implement agentic AI workflows for data ingestion and reporting; Integrate agentic solutions with enterprise data platforms; Configure robust agent execution logic including sequencing and exception handling; Develop LLM/RAG capabilities with guardrails; Drive continuous improvement in technical reporting.
Seniority
Experienced Professionals, hands-on IC