Senior Artificial Intelligence/Machine Learning Engineer

This is a senior, hands-on engineering role focused on designing and delivering production-grade agentic AI systems for enterprise environments. You will build autonomous AI agents using an established enterprise AI stack, combining Glean with OpenAI/GPT Enterprise and cloud infrastructure on AWS or GCP. You will own solutions end to end, from architecture and development through production deployment, monitoring, evaluation, and continuous improvement. The role requires treating AI agents as reliable software systems, with careful attention to retrieval, reasoning, permissions, actions, security, and observability. You will work on technically complex initiatives where reliability, scalability, and maintainability are essential. This is an opportunity to apply advanced LLM and agentic AI expertise to high-impact enterprise use cases while working alongside experienced technology professionals.

• Bring 3+ years of hands-on experience building and operating LLM-powered systems in production environments used by real customers or users.

• Demonstrate practical experience designing agentic AI workflows, including tool and function calling, retrieval-augmented generation (RAG), multi-step orchestration, and memory.

• Have deep hands-on experience with the OpenAI API and GPT Enterprise, including model selection, prompt engineering, structured outputs, function calling, cost and latency optimization, and enterprise data-handling controls.

• Demonstrate strong prompt-engineering discipline and an evaluation-first mindset, with experience using measurable evaluations to assess and improve agent quality.

• Have direct, hands-on production experience with Glean, including Agent Builder, Apps, Actions, Model Hub, connectors, and permission-aware retrieval; this is a mandatory requirement for the role.

• Possess working knowledge of enterprise search and RAG architectures on Glean, including indexing, connectors, retrieval quality, and runtime permission enforcement.

• Understand how to approach AI agents as production software, with strong awareness of reliability, security, observability, scalability, and maintainability.

• Demonstrate strong analytical and problem-solving abilities, combined with the ability to work independently on technically complex AI engineering challenges.

• Communicate effectively with technical and business stakeholders and collaborate within a global, multidisciplinary engineering environment.