Staff AI Engineer (Knowledge)

SCAN Health Insurance • Long Beach, CA

3d • $106,200 - $182,983 • Hybrid

About The Position

As an AI Engineer specializing in enterprise knowledge systems, you will architect, implement, and optimize frameworks that enable the organization to capture, structure, and leverage its collective knowledge. Your responsibilities span designing information models, building knowledge graphs, and developing AI-powered retrieval and discovery platforms. By integrating advanced semantic, vector, and hybrid search technologies, you will ensure that knowledge assets are discoverable, reusable, and support analytics, automation, and decision intelligence. You will collaborate across business, data, and technology teams to drive standardization, governance, and innovation—empowering the enterprise to unlock value from its information and accelerate transformation initiatives.

Requirements

• 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
• Demonstrates curiosity, initiative, and continuous learning; adapts quickly to new frameworks and technologies.

Nice To Haves

• Extensive experience (6+ years) in enterprise knowledge management, information architecture, data engineering, enterprise search, or AI-powered systems, ideally within regulated industries such as healthcare.
• Demonstrated hands-on expertise (3+ years) with knowledge graphs, semantic technologies, retrieval-augmented generation (RAG), and AI-ready knowledge repositories.
• Proven track record delivering enterprise-scale knowledge or AI transformation initiatives, including cross-functional collaboration with business, healthcare, data, and technology teams.
• Experience building production-grade knowledge graph platforms and integrating them with analytics, search, and AI applications.
• Familiarity with Azure AI Foundry, Azure OpenAI, and PKM tools (Obsidian, Logseq, Roam Research) is highly valued.
• 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
• Microsoft Certified: Azure AI Engineer Associate
• Certifications in Knowledge Management, Information Architecture, Data Engineering, or AI (e.g., Certified Knowledge Manager, TOGAF, DAMA, or similar)
• Relevant certifications in cloud platforms (Azure, AWS, GCP) or enterprise content management
• Additional certifications in Responsible AI, Data Governance, or Healthcare Informatics are advantageous
• Professional memberships (e.g., DAMA, KMWorld) are beneficial.

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.
• Actively support the achievement of SCAN’s Vision and Goals.
• Other duties as assigned.

Benefits

• Base Salary Range: $106,200 to $182,983 annually
• An 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
• Robust employee recognition program
• Tuition reimbursement
• An opportunity to become part of a team that makes a difference to our members and our community every day!
• A competitive compensation and benefits program
• An annual employee bonus program
• Generous paid-time-off (PTO)
• Eleven paid holidays per year
• Excellent Retirement Savings program
• A work-life balance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior