About the Role
Lead the design and execution of deployment strategies for AI agents in real-world healthcare applications, ensuring alignment with technical, operational, and regulatory requirements.
Responsibilities
- Develop deployment frameworks for AI agents operating in clinical environments
- Ensure systems are scalable, secure, and compliant with healthcare regulations
- Collaborate with engineering and clinical teams to integrate AI solutions into workflows
- Design monitoring and feedback systems for deployed agents
- Optimize agent performance across diverse healthcare settings
- Troubleshoot deployment issues and implement corrective measures
- Define standards for agent versioning, updates, and rollback procedures
- Work with infrastructure teams to manage cloud and on-premise environments
- Support incident response and system reliability for live deployments
- Evaluate new technologies for improving deployment efficiency
- Lead post-deployment reviews and performance audits
- Ensure data privacy and security protocols are maintained
- Coordinate with compliance teams to meet regulatory standards
- Document deployment processes and system architectures
- Train internal teams on deployment tools and best practices
- Manage deployment timelines and coordinate cross-functional teams
- Integrate automated testing into deployment pipelines
- Monitor system health and agent behavior in production
- Design failover and disaster recovery strategies
- Advocate for user-centered deployment practices
- Contribute to product roadmap based on deployment insights
- Maintain up-to-date knowledge of healthcare AI trends
- Support certification and audit processes
- Ensure interoperability with electronic health record systems
- Promote observability and transparency in agent operations
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid
Team
Collaborative team focused on advancing AI in clinical settings
Why This Role Matters
- AI agents are transforming how care is delivered, and deployment is critical to ensuring they operate safely and effectively in real clinical settings.
- This role directly impacts the reliability and trustworthiness of AI in healthcare by shaping how systems are launched and maintained.
What We Value
- Technical excellence combined with empathy for clinical users
- Attention to detail in high-stakes environments
- Proactive communication and ownership mindset
Available