AI Feature Lead

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. 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 through Medicare Advantage, fully integrated care models, primary care, and next-generation care delivery.

About the role

As an AI Feature Lead, you will serve as the strategic driver behind SCAN’s agentic AI platform, translating vision into actionable outcomes. You’ll own the requirements, validation strategy, and delivery of value, ensuring that robust, scalable, and innovative AI solutions meet evolving business needs. Your expertise will be pivotal in identifying organizational patterns and transforming them into proposals for new AI functionality, positioning the platform at the forefront of enterprise innovation. You’ll collaborate with cross-functional teams—including engineering, product, business, and compliance—to shape and deliver impactful AI features.

Responsibilities

• Gather, refine, and prioritize technical and business requirements for platform features and agents.
• Translate business needs and organizational patterns into clear, actionable specifications for engineering teams.
• Make trade-off decisions regarding implementation (e.g., AI vs. non-AI) and maintain a prioritized feature backlog.
• Use market trends to scope and envision AI platform features, expanding from workflows, scheduling, triggers, and integration points.
• Strategize and roadmap development of APIs, Model Context Protocol (MCP), and knowledge/data management systems.
• Ensure seamless integration with internal and external data sources and services.
• Analyze organizational processes and identify recurring patterns that can be addressed with AI functionality.
• Propose and design new features that directly address business needs and drive measurable impact.
• Define acceptance criteria and test strategies for platform features and agents.
• Ensure rigorous validation of AI functionality and alignment with business goals.
• Define KPIs and oversee test coverage, reliability, performance metrics, and evals.
• Maintain clear, up-to-date documentation for requirements, test strategies, workflows, APIs, and agents.
• Share technical knowledge and best practices with engineering and business teams.
• Actively support the achievement of SCAN’s Vision and Goals.
• Perform other duties as assigned.

Qualifications

• Bachelor's Degree or equivalent experience in Computer Science, Engineering, or a related field.
• Deep technical proficiency in AI platform architecture, agentic orchestration, workflow automation, and context engineering.
• Ability to collaborate effectively with cross-functional teams—including engineering, product, business, and compliance—to deliver robust, scalable AI solutions.
• Strong communication skills to convey complex technical concepts clearly to both technical and non-technical stakeholders.
• Proactively identify organizational patterns and translate them into actionable AI feature proposals.
• Strong stakeholder management and change leadership skills, driving alignment and adoption across the organization.
• Experience developing and executing comprehensive test strategies for complex AI systems, ensuring quality and reliability.
• Familiarity with vectors, embeddings, knowledge representation, and knowledge graph or graph RAG.
• Proficiency with Azure AI Studio, Azure ML, Cognitive Services, Azure OpenAI, API Management Gateway, MCP Gateway, AI Search Service, Snowflake, and Databricks.

Preferred Qualifications

• SAFe Agile Certification or equivalent agile product ownership certification.
• Relevant certifications in Azure AI (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate) or other cloud AI platforms.
• Certifications in data engineering, machine learning, or AI solution architecture.
• Experience in AI platform architecture, agentic orchestration, workflow automation, or context engineering.
• Hands-on experience with Azure AI Studio, Azure ML, Cognitive Services, Azure OpenAI, API Management Gateway, MCP Gateway, and AI Search Service.
• Experience with Snowflake, Databricks, or similar data platforms.
• Background in healthcare (health plan/payer environment preferred), regulated industries, or enterprise-scale AI deployments.
• Proven ability to translate business needs into technical requirements and deliver outcomes through cross-functional teams.

Benefits

• Base Salary Range: $106,200 to $182,983 annually
• 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