The JobAs 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!
