AI Knowledge Platform Analyst

About the Role

Stellix helps organizations in the life sciences and other critical industries connect strategy, systems, and teams to turn digital and AI investments into measurable operational results. The team designs, implements, and governs adaptive operating models that produce outcomes that matter to clients and the communities they serve.

This is a hands-on, entry-level role for a motivated recent college graduate to accelerate the application of AI across Stellix’s enterprise knowledge platform. The role is for someone curious about how AI can transform how a consulting and engineering firm captures, organizes, and reuses 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.

As an AI Knowledge Platform Associate, you will work alongside 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 role is ideal for a recent graduate 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.

Key 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 for accuracy, relevance, and alignment with business needs, and iterate on prompts and configurations to improve quality.
• Document agent designs, use cases, and operating instructions for maintenance and scaling.

Knowledge Structure & Curation

• Organize, tag, and structure content across connected data sources (SharePoint, Confluence, Salesforce, Smartsheet, etc.) to improve search relevance and AI-assisted retrieval.
• Support the development of Glean Collections and curated knowledge groupings.
• Assist in identifying knowledge gaps and working with subject matter experts to fill them.
• Convert workflows, implementation patterns, and operational learnings into structured, reusable IP.

AI Workflow & Solution Support

• Support the design and delivery of AI-enabled workflows using Glean, Microsoft Copilot, Power Automate, and related platforms.
• Assist in building rapid prototypes and pilots.
• Evaluate new AI features and capabilities as they are released.
• Participate in testing and quality assurance for new agents, workflows, and AI features.

Adoption & Enablement

• Support the “Learn More About AI” series by helping prepare demos, examples, and training materials.
• Assist with user onboarding to the Glean platform, including setup guidance and feature walkthroughs.
• Gather user feedback, identify friction points, and translate them into improvement actions.
• Contribute to internal communications highlighting AI wins and encouraging adoption.

Governance & Documentation

• Follow established AI governance processes, content-handling rules, and guardrails.
• Help maintain documentation of agents, workflows, data sources, and permissions.
• Support audit readiness by ensuring configurations are well-documented and aligned with enterprise standards.

Requirements & Tech Stack

Education

• Bachelor’s degree (recent graduate or graduating by start date) in Information Systems, Computer Science, Data Science, Business Analytics, Engineering, or a related field.
• Strong academic record with coursework or projects involving AI, machine learning, data management, or enterprise systems.

Required Skills

• Demonstrated interest in applied AI, enterprise search, or knowledge management.
• Familiarity with AI tools such as ChatGPT, Claude, Copilot, or similar platforms.
• Strong written and verbal communication skills.
• Analytical mindset with the ability to break down ambiguous problems.
• Comfort working in a fast-paced environment with evolving priorities.
• High attention to detail and a willingness to iterate.

Preferred Qualifications

• Internship or co-op experience in an IT, digital transformation, or consulting environment.
• Exposure to enterprise platforms such as SharePoint, Confluence, Salesforce, or Smartsheet.
• Experience building workflows, automation, or no-code/low-code solutions (e.g., Power Automate, Zapier).
• Familiarity with concepts such as retrieval-augmented generation (RAG), semantic search, prompt design, or agent orchestration.
• Experience creating documentation, training materials, or knowledge base content.

What You Will Learn

• How enterprise AI platforms work in practice.
• How to build and refine AI agents using Glean’s Agent Builder.
• How to structure and curate knowledge for accurate, relevant, and governed AI results.
• How a consulting and engineering firm captures expertise and turns it into reusable IP.
• How to work across technical and business teams to identify opportunities, prototype solutions, and drive adoption.

Compensation

• Base salary range: $65,000 to $75,000, based on experience and qualifications.
• Eligible for a variable compensation plan.

On-Site Requirements

• Full on-site presence: 5 days per week for the first 4–6 months.
• Following the initial period: On-site four days per week (Monday, Wednesday, Thursday, and one alternating day between Tuesday or Friday).

Must be currently authorized to work in the United States.