IT Specialist (Artificial Intelligence)

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

This position is located in the Department of Health & Human Services (HHS), Centers for Medicare & Medicaid Services (CMS), Office of Information Technology,(OIT).

As a IT Specialist (Artificial Intelligence), GS-2210-13, you will build platforms that streamline the end-to-end Artificial Intelligence/Machine Learning lifecycle, manage resources, automate workflows, and ensure compliance and governance.

ALL QUALIFICATION REQUIREMENTS MUST BE MET BY THE CLOSING DATE OF THIS ANNOUNCEMENT.

Your resume (limited to no more than 2 pages) must include detailed information as it relates to the responsibilities and specialized experience for this position. Evidence of copying and pasting directly from the vacancy announcement without clearly documenting supplemental information to describe your experience will result in an ineligible rating. This will prevent you from being considered further.

Basic Requirement

You must have IT-related experience demonstrating each of the four competencies listed below:

• Attention to Detail - is thorough when performing work and conscientious about attending to detail;
• Customer Service - Works with clients and customers (that is, any individuals who use or receive the services or products that your work unit produces, including the general public, individuals who work in the agency, other agencies, or organizations outside the Government) to assess their needs, provide information or assistance, resolve their problems, or satisfy their expectations; knows about available products and services; is committed to providing quality products and services;
• Oral Communication - Expresses information (for example, ideas or facts) to individuals or groups effectively, taking into account the audience and nature of the information (for example, technical, sensitive, controversial); makes clear and convincing oral presentations; listens to others, attends to nonverbal cues, and responds appropriately; AND
• Problem Solving - identifies problems; determines accuracy and relevance of information; uses sound judgment to generate and evaluate alternatives, and to make recommendations.

AND

In order to qualify for the GS-13

You must demonstrate in your resume at least one year (52 weeks) of qualifying specialized experience equivalent to the GS-12 grade level in the Federal government, obtained in either the private or public sector, to include:

• Evaluating Artificial Intelligence (AI) use cases, developing implementation best practices, or supporting adoption of AI solutions across development teams to improve efficiency and program operations;
• Facilitating discussions with product owners and business stakeholders to analyze program requirements, identify opportunities for Artificial Intelligence/Machine Learning (AI/ML) solutions, or developing mission-aligned approaches that improved business operations and supported cost-effective outcomes;
• Providing technical guidance to data engineering teams (including contractors and vendors) on the design, implementation, maintenance, or improvement to support machine learning lifecycle management; AND
• Assisting with deploying AI/ML models into production environments and monitoring model performance and compliance throughout the model lifecycle

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills, and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.