Senior Platform Engineer

Mayo Clinic • Rochester, MN

1d

About The Position

The Mayo Clinic Platform AI team is seeking an experienced Senior Platform
Engineer to join our innovative efforts in developing and implementing
cutting-edge generative AI solutions. In this role, you will lead the design and
development of state-of-the-art generative AI models, establish comprehensive
safety guardrails for responsible AI deployment, and drive the creation of
autonomous AI agents. You’ll collaborate closely with a diverse team of data
scientists, product managers, and engineers as we shape the future of AI
applications while ensuring our systems remain safe, ethical, and scalable.

Responsibilities

• Generative AI Model Development: Architect, design, and implement advanced generative AI models and architectures that support varied departmental applications and cutting-edge research initiatives.
• GenAI Safety & Ethics: Develop comprehensive safety guardrails and ethical guidelines to ensure responsible AI development and deployment, incorporating best practices in AI alignment and security.
• Cross-Functional Collaboration: Partner with cross-functional teams to integrate AI solutions seamlessly within the Mayo Clinic Platform, translating business needs into robust technical implementations.
• Autonomous AI Agents: Lead the creation and optimization of intelligent AI agents designed for autonomous decision-making, leveraging techniques in prompt engineering and model fine-tuning.
• System Enhancement: Evaluate and enhance existing generative AI deployments across departmental applications, continually iterating to improve performance, safety, and scalability.
• Performance Optimization: Identify bottlenecks in AI/ML pipelines and propose solutions to improve system performance, efficiency, and scalability.
• Monitoring & Troubleshooting: Develop and maintain observability tools, including logging, monitoring, and alerting, to diagnose and resolve production issues.
• Documentation: Create and maintain technical documentation, including architectural diagrams, API specifications, and onboarding guides for internal and external stakeholders.
• Thought Leadership: Stay updated with the latest trends and advancements in federated learning, distributed computing, and machine learning frameworks to continually enhance the platform.

Benefits

• Medical: Multiple plan options.
• Dental: Delta Dental or reimbursement account for flexible coverage.
• Vision: Affordable plan with national network.
• Pre-Tax Savings: HSA and FSAs for eligible expenses.
• Retirement: Competitive retirement package to secure your future.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees