Principal Ai Software Engineer

Elsevier

Base: $115,400 - $192,300 (u.s. national); geograp...
Not specified (could be inferred as hybrid or fully remote based on industry standards).
Principal ai engineering lead experience
Designing retrieval-augmented generation workflows
Managing six direct reports
Elsevier is seeking a Principal AI Software Engineer to lead a team responsible for the CK AI Service, focusing on the design and execution of retrieval-augmented generation workflows and API expansion. The ideal candidate will have experience in mentoring engineering teams and delivering scalable distributed systems, as well as a strong technical background in AI and API strategies

Job Summary

  • This role serves as a subject matter expert leading a team of Software Engineers while providing direction on project plans and methodologies.
  • The successful candidate will own the technical strategy for the CK AI Service, including the governance of retrieval-augmented generation workflows.
  • Elsevier offers competitive compensation with an annual incentive bonus and country-specific benefits to support employee well-being.

Matching Summary

Match Score: 85

Elsevier is seeking a Principal AI Software Engineer to lead a team responsible for the CK AI Service, focusing on the design and execution of retrieval-augmented generation workflows and API expansion. The ideal candidate will have experience in mentoring engineering teams and delivering scalable distributed systems, as well as a strong technical background in AI and API strategies.

Salary

Base: $115,400 - $192,300 (U.S. National); Geographic differentials apply; New Jersey range $130,284 - $208,116; Bonus: Eligible for annual incentive

Skills & Requirements

Must-have

  • Principal AI Engineering Lead experience
  • Designing retrieval-augmented generation workflows
  • Managing six direct reports
  • Distributed systems and API design at scale
  • LLM integration and orchestration expertise
  • Vector search and embedding strategies

Nice-to-have

  • Cross-functional alignment skills
  • Mentoring and career development focus
  • Sustainable leadership model creation
  • Reducing knowledge silos
  • Driving standardization in AI patterns

Key Requirements

  • Proven ability to mentor and grow engineering teams
  • Deep expertise in distributed systems and APIs
  • Hands-on experience with RAG workflows and LLMs
  • Track record of reducing bottlenecks and single points of failure

Work Rights

Not specified

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