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AI Software Engineering LeadRELX • United States
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AI Software Engineering Lead

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    United States
  • US
    United States
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Über

Software Engineering Lead
Are you a collaborative Software Engineering Lead looking to work for a mission driven global organization? About the Role
As Engineering Lead—You will lead and manage a small team of engineers, fostering their growth and ensuring delivery excellence. You will be entrusted with making sure your team is set up for success as they deliver products. This position serves as a subject matter expert for a specific team of Software Engineers. In addition to writing code on complex systems and applications, this position provides direction on project plans, schedules, and methodologies. About the Team
This team supports CK AI Service team. The new Lead Engineer will have six direct reports and will own the technical strategy and execution for the CK AI Service, including the design and governance of retrieval-augmented generation (RAG) workflows and API expansion. This role will improve delivery velocity, reduce bottlenecks and single points of failure, drive standardization, mentoring, and cross-functional alignment as the platform matures, and establish a sustainable leadership model to support the planned division and growth of the team. Requirements
Proven ability to lead, mentor, and grow engineering teams, including managing performance, career development, and team health Established track record of creating high-performing, collaborative team environments and reducing knowledge silos Ability to remove blockers, manage priorities, and improve delivery velocity across a team Experience establishing scalable team structures and leadership models to support growth Deep expertise in designing and delivering distributed systems and APIs at scale Ability to define and execute technical strategies, balancing short-term delivery with long-term platform sustainability Experience with microservices architecture, API design, and system integration Proven ability to identify and eliminate single points of failure and improve system resilience Hands-on experience designing and implementing retrieval-augmented generation (RAG) workflows Understanding of:
LLM integration and orchestration Embeddings and vector search Retrieval pipelines and ranking strategies
Experience building AI-powered APIs and services for production environments Ability to govern and standardize AI patterns, including evaluation, observability, and performance optimization Responsibilities
Managing and mentoring of six direct reports. Driving and owning the technical strategy and execution for the CK AI Service, including the design and governance of retrieval-augmented generation (RAG) workflows and API expansion. Improving the delivery velocity, reducing bottlenecks and single points of failure, driving standardization, mentoring, and cross-functional alignment as the platform matures Establishing a sustainable leadership model to support the planned division and growth of the team. Collaborating with our Data Science team to help drive product road map and feature design forward. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. If performed in New Jersey, the base pay range is $136,213 - $217,587. This job is eligible for an annual incentive bonus.
  • United States

Sprachkenntnisse

  • English
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