Senior Applied AI Engineer
Listed on 2026-08-20
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Software Development
AI Engineer (Applied/Software)
ORGANIZATION OVERVIEW
Solely funded by philanthropists Gary and Mary West, West Health includes the nonprofit and nonpartisan Gary and Mary West Health Institute and Gary and Mary West Foundation in San Diego, and the Gary and Mary West Health Policy Center in Washington, D.C. These organizations are working together toward a shared mission dedicated to enabling seniors to successfully age in place with access to high-quality, affordable health and support services that preserve and protect their dignity, quality of life and independence.
Through a combination of medical research and policy initiatives, collaborations, education, and advocacy, West Health is committed to supporting and creating healthcare delivery models that improve care and access for our fast-growing, diverse population of seniors. Data/Data Science is an important engine that powers our work. For more information, visit west health.org and follow @west health
POSITION SUMMARY
West Health is seeking a Senior Applied AI Engineer to join our Data Science & Analytics team. This is a hands-on, delivery-oriented role for a builder who can rapidly turn ideas into fully working applications and tools that create immediate, measurable value for our organization and the communities we serve. The ideal candidate pairs deep, practical expertise in applied AI with the speed and follow-through to ship.
You will partner closely with the Director of Data Science & Analytics to design, build, and deploy intelligent systems—including multi-agent architectures and automated workflows—that amplify the impact of our team and advance our mission of improving healthcare for seniors. Beyond building, you will bring a sharp eye for where AI can add the most value, helping the team spot the highest-impact opportunities and apply the right tool to each one.
This role is focused on applied use of existing AI and LLM tools, understanding what each is best suited for and combining them into well-designed, reliable solutions. The right candidate can take a business problem or loosely defined concept and independently develop it into a polished, well-documented tool with a thoughtful user experience. Above all, we are looking for someone genuinely energized by this technology—an engineer who is eager to grow alongside a fast-moving field and is at their best when turning a rough idea into something real and working.
- GENERAL DUTIES AND RESPONSIBILITIES
- Applied AI Solution Development: Design, build, and deploy production-quality AI-powered tools and workflows using large language models, AI APIs, and orchestration platforms. Architect and implement multi-agent systems, retrieval-augmented generation (RAG) pipelines, and automated analytical workflows that address real organizational needs and are built for sustained daily use.
- AI Workflow Orchestration & Integration: Build and maintain intelligent automation pipelines using platforms such as n8n, Lang Chain/Lang Graph, Microsoft Copilot Studio, CrewAI, and similar orchestration tools. Leverage APIs and emerging integration standards such as Model Context Protocol (MCP) to connect AI capabilities with existing data infrastructure (Snowflake, Python, internal systems) and create seamless, reliable workflows that operate with minimal manual intervention.
- Data Analysis & Strategic Insight: Conduct independent data analysis and contribute analytical thinking to team projects. Proactively identify opportunities where AI can unlock insights, surface patterns in large datasets, and recommend relevant analyses. Translate findings into clear, compelling data stories that inform leadership decisions.
- Solution Delivery & Follow-Through: Move effectively from concept to deployed solution. Take loosely defined ideas from leadership and independently scope, design, build, and deliver polished tools with intuitive interfaces, proper documentation, and sustainable architecture. Demonstrate consistent follow-through from ideation to completion.
- Prompt Engineering & LLM Optimization: Develop and refine sophisticated prompt architectures, system instructions, and evaluation frameworks that ensure consistent, high-quality outputs…
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