AI Feature Lead

SCAN Health Insurance; Long Beach (CA); Hybrid; USD 106,000 - 183,000; Full time

Benefits offered by this job

Wellness Program

Paid time off

11 holidays per year + floating day +

Birthday off

401(k) employer match

Tuition reimbursement

Recognition program

Volunteer days

Job summary

SCAN Health Insurance seeks an AI Feature Lead to drive an enterprise AI platform, translating vision into scalable features. You’ll own requirements, validation, and delivery of impactful AI capabilities while partnering with engineering, product, business, and compliance teams.

You will guide platform strategy, APIs, data management, and governance to ensure scalable, compliant AI solutions that meet business goals and deliver measurable impact for members.

Qualifications

• Bachelor’s degree in computer science or engineering or equivalent experience.
• Deep technical proficiency in AI platform architecture and agentic orchestration.
• Ability to translate business needs into actionable AI feature proposals.
• Strong collaboration with cross-functional teams including engineering and compliance.
• Familiarity with vectors, embeddings, knowledge representations, and knowledge graphs.
• Experience with Azure AI Studio, Azure ML, Cognitive Services, and Azure OpenAI.

Responsibilities

• Gather and prioritize technical and business requirements for platform features and agents.
• Translate business needs and patterns into clear specifications for engineering teams.
• Make trade-offs and maintain a prioritized feature backlog.
• Scope features using market headwinds/tailwinds and plan APIs, MCP, and data management systems.
• Roadmap development for APIs, MCP, and data management systems.
• Ensure seamless integration with internal and external data sources.
• Analyze organizational processes to identify recurring AI patterns and opportunities.
• Define acceptance criteria and KPIs; oversee test coverage and performance metrics.
• Maintain up-to-date documentation and share best practices.

Skills

AI platform architecture

Agentic orchestration

Workflow automation

Context engineering

Cross-functional collaboration

Communication

Pattern recognition

Test strategy development

Documentation

Education

Bachelor’s degree or equivalent in computer science or engineering

Tools

Azure AI Studio

Azure ML

Cognitive Services

Azure OpenAI

API Management Gateway

MCP Gateway

AI Search Service

Snowflake

Databricks

Job description

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 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. By fostering strong partnerships and sharing technical knowledge, you’ll ensure solutions are practical, scalable, and aligned with business goals.

Essential Job Functions:

Requirements & Feature Ownership

• 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.

Platform Strategy & Roadmapping

• Use market headwind/tailwind 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.

Business Alignment & Pattern Recognition

• 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.
• Collaborate with cross‑functional teams to ensure solutions are practical, scalable, and compliant.

Test Strategy & Quality Assurance

• 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.

Documentation & Knowledge Sharing

• 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.
• 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 or equivalent experience Computer science, Engineering, or a related field
• Demonstrates deep technical proficiency in AI platform architecture, agentic orchestration, workflow automation, and context engineering.
• Collaborates effectively with cross‑functional teams—including engineering, product, business, and compliance—to deliver robust, scalable AI solutions.
• Communicates complex technical concepts clearly to both technical and non-technical stakeholders.
• Proactively identifies organizational patterns and translates them into actionable AI feature proposals.
• Exhibits strong stakeholder management and change leadership skills, driving alignment and adoption across the organization.
• Develops and executes comprehensive test strategies for complex AI systems, ensuring quality and reliability.
• Maintains up-to-date documentation and shares best practices to foster a culture of continuous learning and improvement.
• Demonstrates familiarity with vectors, embeddings, knowledge representation, and knowledge graph or graph RAG.
• Shows proficiency with Azure AI Studio, Azure ML, Cognitive Services, Azure OpenAI, API Management Gateway, MCP Gateway, AI Search Service, Snowflake, and Databricks.
  

Preferred Certifications or Licenses:

• 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 are a plus.

Experience Preferred:

• 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.
• Strong stakeholder management, communication, and change leadership skills.
• Demonstrated ability to envision comprehensive test strategies for complex AI systems.

What’s in it for you?

• 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!

We’re always looking for talented people to join our team!

At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.

SCAN is proud to be an Equal Employment Opportunity and Affimative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.

#LI-JB1 #LI-Hybrid

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)