AI Staff Engineer

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.

Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity.

At SCAN, we believe scale should strengthen—not dilute—our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.

The Job:

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.

You Will:

AI Solution Design & Engineering

• 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.

LLM & Agentic AI Implementation

• 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.

Data, Integration & Retrieval Engineering

• 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.

AI Platform, DevOps & Operational Support

• 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.

Responsible AI, Security & Governance

• 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.
• We seek Rebels who are curious about AI and its power to transform how we operate and serve our members.
• Actively support the achievement of SCAN’s Vision and Goals.
• Other duties as assigned.

Your Qualifications:

• 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,