Principal Software Engineer/Principal AI Engineer
AI summary of the role
Principal AI Engineer leading an embedded Innovation Squad at Elsevier, owning technical execution from discovery to production.
What you’ll do
- Own technical execution from discovery to production for AI prototypes and proofs of concept.
- Design and govern reusable agentic AI patterns (orchestration, tool use, memory, retrieval).
- Codify validated solutions into patterns, reference implementations, and starter kits for reuse across functions.
- Work directly with internal stakeholders and end users to finalize requirements and make architectural calls.
What you’ll bring
- 10+ years in software engineering with hands-on AI system design, build, or integration.
- BS in Engineering, Computer Science, or equivalent; advanced degree preferred.
- Expertise in LLM orchestration, prompt engineering, context-window management, production guardrails, MCP, tool-augmented agents, and RAG at enterprise scale.
- Experience integrating AI into enterprise systems via APIs and data pipelines with strong security and data governance.
Technologies
AI · LLM · agentic AI · MCP · RAG · Python · Java · TypeScript · SQL · AWS · Azure · GCP
About Elsevier
Global scientific publisher and analytics platform serving researchers, clinicians, and institutions with content, data, and AI-powered decision tools across research and healthcare.
Public · 5000+ people
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