AI Platform Engineer – End-to-End ML Lifecycle

Centers for Medicare and Medicaid Services; San Francisco (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Centers for Medicare and Medicaid Services (CMS) in San Francisco, part of the Department of Health & Human Services (HHS) Office of Information Technology (OIT), seeks an IT Specialist (Artificial Intelligence), GS-2210-13, to build platforms that streamline the AI/ML lifecycle, manage resources, automate workflows, and ensure governance.

The role requires at least one year of specialized experience equivalent to GS-12, including evaluating AI use cases, guiding AI/ML implementation, providing

Qualifications

• At least one year of specialized experience equivalent to the GS-12 grade level in the Federal service.
• Experience evaluating AI use cases and implementing AI/ML solutions across development teams.
• Experience providing technical guidance to data engineering teams on ML lifecycle management.
• Experience deploying AI/ML models into production and monitoring performance and compliance.

Responsibilities

• Evaluating AI use cases and developing implementation best practices for AI adoption across teams.
• Facilitating discussions with product owners and stakeholders to analyze requirements for AI/ML solutions.
• Providing technical guidance to data engineering teams on model design, deployment, and lifecycle management.
• Assisting with deploying AI/ML models into production environments and monitoring model performance and compliance.

Skills

Attention to Detail

Customer Service

Oral Communication

Problem Solving

Job description

Centers for Medicare and Medicaid Services (CMS) in San Francisco, part of the Department of Health & Human Services (HHS) Office of Information Technology (OIT), seeks an IT Specialist (Artificial Intelligence), GS-2210-13, to build platforms that streamline the AI/ML lifecycle, manage resources, automate workflows, and ensure governance.

The role requires at least one year of specialized experience equivalent to GS-12, including evaluating AI use cases, guiding AI/ML implementation, providing