Job Description
The Lead AI Engineer is responsible for designing, building, and governing production‑grade AI systems at enterprise scale. This role leads the architecture and evaluation of Retrieval‑Augmented Generation (RAG) solutions, ensuring they are reliable, cost‑effective, and aligned with data and AI governance standards.
The ideal candidate brings deep experience in distributed systems, AI evaluation frameworks, and modern LLM‑based architectures, with a strong understanding of tradeoffs across model selection, retrieval strategies, and real‑time versus offline AI workflows. This role partners closely with engineering, platform, and governance teams to ensure AI solutions are scalable, observable, and sustainable in production.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Proven experience with distributed systems design supporting production-scale AI platforms
Hands-on experience with AI evaluation frameworks (model quality, relevance, latency, cost, and reliability)
Strong experience designing and implementing RAG (Retrieval‑Augmented Generation) architectures
Demonstrated ownership of cost governance for AI/LLM systems (compute, inference, embeddings, storage, tooling)
Strong understanding of and experience operating within data governance frameworks (enterprise standards, controls, compliance)
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.