AI Staff Engineer

SCAN Health Plan • Long Beach, CA

4d • Hybrid

About The Position

As an AI Engineer, you will design, build, and optimize enterprise AI solutions that improve how the organization operates, makes decisions, and serves its members. Your responsibilities span developing AI applications, building secure and scalable data and automation pipelines, and supporting production-ready AI systems. You will collaborate across business, data, security, compliance, and technology teams to translate business needs into practical AI solutions, apply responsible AI practices, and deliver measurable value through innovation, automation, and continuous improvement.

Requirements

• Bachelor's Degree in Computer science, Engineering, or a related field, or equivalent experience
• Deep applied understanding of LLM-based architectures, retrieval-augmented generation (RAG), vector embeddings, prompt engineering, and agent orchestration
• Experience designing, building, and deploying AI-enabled applications, services, workflows, and integrations.
• 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 connect business requirements to technical solutions, develop reusable components, and improve solution adoption and operational impact.
• Collaborative communicator, comfortable engaging non-technical stakeholders and cross-functional teams.
• 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

• Microsoft Certified: Azure AI Engineer Associate
• Relevant certifications in cloud platforms, AI engineering, machine learning, data engineering, or software development are beneficial.
• Additional certifications in Responsible AI, Data Governance, Cybersecurity, or Healthcare Informatics are advantageous.
• Extensive experience (6+ years) in AI engineering, software engineering, data engineering, machine learning, automation, or enterprise technology delivery, ideally within regulated industries such as healthcare.
• Demonstrated hands-on expertise (3+ years) building AI-enabled applications, integrating large language models, implementing RAG patterns, or delivering machine learning solutions.
• Proven track record delivering enterprise-scale AI or digital transformation initiatives, including cross-functional collaboration with business, healthcare, data, security, compliance, and technology teams.
• Experience building production-grade applications, APIs, data pipelines, automation workflows, or cloud-based AI services.
• Familiarity with Azure AI Foundry, Azure OpenAI, Azure AI Services, Databricks, Snowflake, or similar enterprise AI and data platforms is highly valued.
• Strong stakeholder management and communication skills, with ability to translate business needs into scalable technical solutions and drive adoption across diverse teams.
• Domain expertise in healthcare, including regulatory and member-focused nuances, is a plus.

Responsibilities

• Design, build, and maintain AI-powered applications, services, and workflows that address enterprise business needs.
• Translate business requirements into scalable technical designs, prototypes, and production-ready solutions.
• Apply software engineering best practices for reliability, maintainability, documentation, and secure deployment.
• Develop and integrate AI capabilities using large language models, embeddings, prompt engineering context engineering, and agentic frameworks.
• Build AI assistants, automation tools, and agentic workflows that improve productivity and operational outcomes.
• Evaluate model behavior, output quality, performance, and fit-for-purpose use across enterprise scenarios.
• Build and maintain data pipelines, API integrations, and retrieval patterns that support AI applications and analytics.
• Implement retrieval-augmented generation, vector search, structured data access, and document processing where appropriate.
• Partner with data and platform teams to ensure quality, lineage, scalability, and secure access to enterprise data sources.
• Support deployment, monitoring, testing, and maintenance of AI solutions across development, test, and production environments.
• Implement CI/CD, model evaluation, observability, and operational controls for AI-enabled systems.
• Troubleshoot technical issues, improve performance, and support continuous enhancement of AI platforms and applications.
• Apply responsible AI practices, including transparency, traceability, explainability, fairness, privacy, and human oversight.
• Partner with security, compliance, legal, and governance teams to support safe and appropriate AI use.
• Document solution design, risks, controls, assumptions, and operational considerations for AI systems.
• 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!

What This Job Offers

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