AI Knowledge Platform Analyst
About the role
Stellix helps organizations in the life sciences and other critical industries connect strategy, systems, and teams so they can turn digital and AI investments into measurable operational results. Join our team as we design, implement, and govern the adaptive operating models that produce outcomes that matter to our clients and the communities they serve.
We are seeking a motivated recent college graduate to join our team and help accelerate the application of AI across Stellix’s enterprise knowledge platform. This is a hands‑on, entry‑level role for someone who is curious about how AI can transform the way a consulting and engineering firm captures, organizes, and reuses its institutional expertise. Stellix’s knowledge platform is built on Glean and connects SharePoint, Teams, OneDrive, Confluence, Salesforce, Smartsheet, and other enterprise systems into a unified search, AI assistant, and agent environment. The long‑term vision is to build a compounding knowledge platform that captures expertise from every engagement and turns it into reusable intellectual property — so each project makes the next project better. As an AI Knowledge Platform Associate, you will work alongside our IT, Digital Platforms, and business teams to build, test, and refine Glean agents; structure and curate knowledge content; support AI workflow development; and help drive adoption across the organization. You will gain hands‑on experience with enterprise AI tools, agentic workflows, and knowledge management while contributing to real business outcomes. This is an ideal role for a recent graduate who is excited about applied AI, comfortable working across technical and business contexts, and eager to learn how AI works inside a real consulting and engineering organization.
Responsibilities
- Agent Building & Refinement: Build, test, and refine Glean agents that automate multi‑step workflows such as contract review, proposal development, knowledge retrieval, and document generation; translate business requirements into clear agent instructions, step logic, and workflow configurations; evaluate agent outputs