Job description
At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you’ll be able to fully realize your potential. Plus, you’ll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience.
The Vice President of AI Platformsis responsible for the end-to-end delivery, operation, and continuous improvement of MCG’s commercial AI services, Synapse. This platform supports both MCG’s internal product suite and external independent software vendors (ISVs) who rely on Synapse for clinical reasoning capabilities.
This role combines commercial-grade operational leadership with platform modernization. The VP AI Platforms owns the platform strategy and operating model that supports running Synapse as a commercial-grade service, that increases adoption, reduces delivery friction, ensures reliability and scalability, drives cost-to-serve efficiency, and enables high-quality production support.
This executive excels at organizing teams, managing delivery processes, and operating AI systems as a service. Reporting to the Chief Technology Officer, this leader ensures that the Synapse platform meets commercial expectations for performance and availability while maintaining strong alignment with product, business, and customer outcomes.
You Will:
Own the full lifecycle of MCG’s Synapse platform—from planning through design, implementation, deployment, and sustained operation.
Lead Data Science, Data Engineering, and MLOps teams in executing predictable delivery of production-grade AI services that support both internal and partner products.
Define and drive a multi-year platform roadmap and target architecture that enables self-service onboarding, reusable components, and scalable delivery patternsleveraging predictive, generative, and agentic AI as appropriate.
Develop detailed execution plans with clear milestones, capacity allocation, and delivery tracking aligned to MCG’s business priorities.
Build and optimize processes for monitoring, incident management, and continuous uptime improvement, ensuring 24⁄7 reliability of the Synapse platform.
Establish and operate a modern LLMOps stack: prompt and configuration management, model routing, caching, A/B testing, evaluation harnesses, red-teaming, and continuous quality monitoring for Gen AI outputs (accuracy, hallucination rate, safety, and drift).
Deliver core Gen AI platform capabilities including retrieval-augmented generation (RAG), embeddings and semantic search, vector database operations, knowledge ingestion pipelines, and grounded response generation.
Enable agentic workflows for complex tasks by implementing secure tool/function calling, permissioned action execution, workflow orchestration, memory/state management, and robust guardrails for clinical and operational safety.
Oversee model versioning, validation, and controlled releases to maintain model quality, reproducibility, and compliance.
Ensure strong production support and tier 4 response capabilities for live AI services used by internal and partner customers.
Collaborate with Product Management, Commercial, and Engineering leaders to define and deliver roadmap objectives and partner integrations.
Establish a metrics-driven culture with rigorous reporting on throughput, cycle time, model accuracy, and service reliability.
Develop and mentor a high-performing technical organization, emphasizing execution discipline, system ownership, and operational excellence.
Coordinate workforce planning, budget management, and vendor partnerships to optimize delivery velocity and scalability.
What We’re Looking For:
Advanced degree (PhD or Master’s) in Computer Science, Artificial Intelligence, Data Science, or equivalent experience.
10 years of progressively responsible experience leading software, AI, and/or data science teams.
5 years experience designing and delivering predictive and generative AI systems.
Experience operating production services, including customer-facing APIs and model-as-a-service platforms.
Demonstrated ability to establish repeatable delivery processes and manage complex cross-functional dependencies; proven track record driving organizational change.
Demonstrated experience organizing, developing, and recruiting data scientists, engineers, and MLOps staff.
Strong financial and operational acumen in managing budgets, headcount, and vendor contracts, and cloud cost controls.
Ability to translate business priorities into operational execution and align technical teams around measurable outcomes.
Strong communication, stakeholder management, and organizational leadership skills.
Healthcare experience is welcome but not necessary; this leader will partner with executives who provide clinical and product expertise.
Pay Range: $268,500 - $375,900
Other compensation: Bonus Eligible
We are prioritizing Seattle-based talent for this role.
Perks & Benefits:
💻 Remote work
✈️ Travel expected 3-4times per year for company-sponsored events
🩺 Medical, dental, vision, life, and disability insurance
📈 401K retirement plan; flexible spending and health savings account
🏝️ 15 days of paid time off + additional front-loaded personal days
🏖️ 14 company-recognized holidays + paid volunteer days
👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave
🌈 LGBTQ+ Health Services
🐶 Pet insurance
📣 Check out more of our benefits here:https://www.mcg.com/about/careers/benefits/
MCG Health is a Seattle, Washington-based company and is considering remote candidates with some travel for company-sponsored events.
The ideal candidate should be comfortable balancing the independence of remote work with the collaborative opportunities offered by periodic in-person engagements.
We embrace diversity and equal opportunity and are committed to building a team thatrepresentsa variety of backgrounds, perspectives, and skills.Only with diverse thoughts and ideas will webe able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it.
All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
MCG is a leading healthcare organization dedicated to patient-focused care. We value our employees’ unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal of providing the right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provideaccommodationsfor individuals. Please let us know if you require any support.
