Senior Director – Applied AI Architecture, Platform Infrastructure
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Job Description
Senior AI architecture leader building GuideWell’s enterprise healthcare AI platforms and applied research capability. Establishing secure, scalable AI infrastructure and standards for regulated healthcare.
Responsibilities:
- Establish GuideWell’s applied AI research function
- Evaluate frontier AI developments in model capability, agentic AI, multimodal AI, and human-AI interaction
- Translate AI developments into a prioritized roadmap of applied use cases across the health ecosystem
- Build AI infrastructure and platform capabilities, including compute, MLOps/LLMOps, and model pipelines
- Move AI solutions from prototypes into reliable, secure, production-grade enterprise operation
- Stand up a developer platform and toolchain with self-service access to shared AI capabilities
- Reduce duplicated infrastructure and shorten the path from idea to production
- Define AI architecture and engineering standards for a regulated healthcare environment
- Partner with the VP of Applied AI Engineering and Platform and senior stakeholders across architecture, infrastructure, data, security, legal/compliance, and the business
- Design, staff, and establish the enterprise AI capability across research, infrastructure/platform engineering, developer platform, and architecture/strategy/standards
- Recruit and lead an engineering organization while making early architecture and standards decisions
- Sequence research and platform investments to support scalable AI delivery
Requirements:
- Related Bachelor’s degree or additional related equivalent work experience
- 7+ years’ related work experience
- 5+ years’ direct supervisory/management experience
- Significant experience leading AI/ML platform, infrastructure, or applied AI engineering organizations at enterprise scale
- Hands-on architecture experience
- Experience architecting and operating agentic AI platforms in production, including orchestration/agent frameworks, tool-access and identity controls, evaluation gates, observability, and deployment pipelines
- Deep expertise in AWS, Azure, GCP, or similar cloud platforms
- Experience with infrastructure-as-code, container/serverless technologies, CI/CD, and multi-region resilience
- Experience establishing evaluation-first LLMOps practices, including regression testing, tracing, and human-in-the-loop oversight
- Experience building and leading engineering organizations from the ground up across distributed or global delivery models
- Strong executive communication and credibility with senior technical and business stakeholders
- Ability to travel to multiple locations for meetings, events, and conferences
- Preferred: experience in regulated or compliance-sensitive industries such as healthcare or financial services
- Preferred: experience translating HIPAA or SOX requirements into engineering standards
- Preferred: experience redesigning business or clinical workflows as agent-driven processes
- Preferred: experience building reusable AI platform components
- Preferred: experience setting technical direction on emerging agentic AI and orchestration techniques
- Preferred: background spanning hands-on technical architecture and organizational leadership
- Preferred: exposure to health plans, providers, clinical operations, or government health care programs
Benefits:
- Medical, dental, vision, life and global travel health insurance
- Short- and long-term disability programs
- Leave programs to support personal circumstances
- Retirement Savings Plan including employer match
- Paid time off
- Volunteer time off
- 10 holidays
- 2 well-being days
- Additional voluntary benefits
- Comprehensive wellness program
- Incentive or commission compensation opportunities
- Annual reviews with pay-for-performance considerations for base pay increases
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