Staff AI Engineer (Knowledge)

About the role

Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the “12 Angry Seniors.” Their mission continues to guide everything we do. Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults.

Responsibilities

• Design and implement frameworks, models, and standards for enterprise knowledge architecture.
• Extend and maintain taxonomies, ontologies, glossaries, and metadata repositories beyond data to policies and procedures, business behaviors, and other undocumented sources.
• Partner with Data Governance on oversight, lifecycle processes, and standardization to improve discoverability and reuse of knowledge assets.
• Build and maintain enterprise knowledge graph platforms, modeling entities and relationships across business domains and technology stacks (Databricks, Snowflake, Azure).
• Partner with Data Governance and Engineering on semantic data models, graph schemas, and enable graph-based discovery and navigation.
• Integrate knowledge graphs with AI, analytics, and enterprise applications, ensuring quality and scalability.
• Architect and implement RAG platforms and AI-ready knowledge repositories.
• Design intelligent retrieval systems using hybrid search and document processing pipelines.
• Support development of AI assistants and enhance LLM integration for grounded, accurate responses.
• Build and maintain pipelines for knowledge ingestion and integration from diverse enterprise sources.
• Implement metadata extraction, entity resolution, and semantic linking for trusted, governed assets.
• Collaborate with data engineering teams to ensure quality, lineage, and master/reference data integration.
• Design and implement enterprise search and discovery platforms with semantic and AI-powered capabilities.
• Enable federated, hybrid, and personalized search experiences across repositories and systems.
• Continuously improve search relevance, ranking, and self-service access through feedback and measurement.

Qualifications

• Bachelor's Degree or equivalent experience in Computer science, Engineering, or a related field.
• Deep applied understanding of LLM-based architectures, retrieval-augmented generation (RAG), vector embeddings, prompt engineering, and agent orchestration.
• Expertise in knowledge graph design, semantic modeling, ontology engineering, and metadata management.
• Proficiency with Azure AI Services, Azure AI Foundry, and enterprise content management platforms (SharePoint, Microsoft 365, Teams, Confluence).
• Strong Python (or equivalent), REST APIs, ML/LLMOps tooling, and frameworks (FastAPI, LangChain, Semantic Kernel, etc.).
• Ability to structure and connect information into reusable assets, improve content discoverability, and enable efficient retrieval and reuse.
• Collaborative communicator, comfortable engaging non-technical stakeholders and cross-functional teams.
• Commitment to Responsible AI practices—traceability, explainability, fairness, bias detection, and monitoring pipelines.
• Demonstrates curiosity, initiative, and continuous learning; adapts quickly to new frameworks and technologies.
• Strong business partnering skills, self-direction, and influence; able to define roadmaps, persuade skeptics, and drive adoption of new processes or technologies.
• Strong stakeholder management and communication skills, with ability to translate business knowledge into scalable models and drive adoption across diverse teams.
• Domain expertise in healthcare, including regulatory and member-focused nuances, is a plus.

Benefits

• Annual employee bonus program.
• Robust Wellness Program.
• Generous paid-time-off (PTO).
• 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days.
• Excellent 401(k) Retirement Saving Plan with employer match.
• Roadmap to career advancement.
• Opportunity to make a difference in the lives of older adults and the communities we serve.

Pay

$106,200 to $182,983 annually.

Schedule

Full-time.