Lead Agentic AI Engineer - LLMs & Systems

Elsevier; Maryland Heights (MO); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Annual incentive bonus

Country specific benefits

Job summary

Elsevier seeks a senior AI architect to lead the design and development of autonomous agentic AI systems that tackle complex business problems. You will architect scalable, LLM-powered solutions with guardrails and mentor engineering teams while steering technical strategy.

The role requires deep expertise in LangChain, RAG, vector databases, and enterprise-scale integration. You will collaborate across product and engineering to deliver production-grade AI capabilities.

Qualifications

• Experience designing agentic AI systems including tool-augmented agents and orchestration frameworks like LangChain
• Deep knowledge of LLMs, retrieval augmented generation (RAG), vector databases, and enterprise-scale integrations
• Strong technical leadership and ability to mentor engineering teams

Responsibilities

• Lead the design and development of autonomous agentic AI systems to solve complex business problems.
• Architect scalable LLM-powered solutions with production-grade guardrails and robust observability.
• Mentor engineering teams and drive the technical strategy for AI initiatives.

Job description

Elsevier seeks a senior AI architect to lead the design and development of autonomous agentic AI systems that tackle complex business problems. You will architect scalable, LLM-powered solutions with guardrails and mentor engineering teams while steering technical strategy.

The role requires deep expertise in LangChain, RAG, vector databases, and enterprise-scale integration. You will collaborate across product and engineering to deliver production-grade AI capabilities.