Senior Information Technology Specialist

USDA Food Safety and Inspection Service; Fort Collins (CO); Sur place; USD 110 000 - 150 000; Plein temps

Résumé du poste

USDA Food Safety and Inspection Service in Fort Collins, CO, is seeking a qualified candidate for an AI/ML policy and modernization role at GS-14. The position focuses on leading teams to architect and deliver AI/ML enabled enterprise solutions, ensuring alignment with standards and federal requirements.

Applicants must meet the 2210 series competencies, including attention to detail, customer service, and problem solving, with emphasis on information management and technical competence.

Qualifications

• 52 weeks of progressively responsible specialized experience at GS-13 level or equivalent.
• Leading a multidisciplinary team to design, develop and deliver AI/ML enterprise solutions.
• Advising on enterprise AI/ML policies, processes and standards.

Connaissances

Attention to Detail

Customer Service

Decision Making

Interpersonal Skills

Teamwork

Information Management

Oral Communication

Problem Solving

Technical Competence

Description du poste

Creditable Service for Annual Leave Accrual CSALA and Public Service Loan Forgiveness Program are available.

The position is in the Office of the Chief Information Officer (OCIO), Artificial Intelligence and Innovation Center (AIIC). The AIIC provides policy and guidance on the use of Artificial Intelligence (AI) and its subsets to ensure the organization uses AI safely, securely, and responsibly, in line with federal policy. Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement including specialized experience as defined below.

GS 14: Specialized Experience: In order to meet the specialized experience requirement, you must have completed 52 weeks of progressively responsible, specialized experience at or equivalent to the GS 13 grade level in the federal government. The specialized experience for this position includes all of the following:

• Leading a multidisciplinary team-such as database administrators, testers, and developers-to design, develop, and deliver AI/ML enabled enterprise solutions, ensuring alignment with architectural standards, mission needs, and federal requirements.
• Designing and enhancing enterprise architecture systems capable of performing AI/ML functions, including integration with cloud platforms, data pipelines, automated workflows, and decision support logic.
• Advising on, developing, and implementing enterprise AI/ML policies, processes, and technical standards to ensure safe, secure, and responsible deployment of AI capabilities across the organization.
• Identifying, analyzing, and resolving complex AI system challenges-including interoperability, data structure compatibility, workflow automation, and model lifecycle management-to advance rapid solution development.
• Conducting research and impact analyses on emerging AI technologies, tools, risks, and regulatory changes, and communicating actionable recommendations to agency leadership to guide modernization and innovation strategies.

In addition to the above specialized experience requirements, applicants will undergo a structure resume review to determine whether they meet the Individual Occupational Requirements (IOR) of 2210 series. Successfully completing the 2210 series USAHire assessment with a passing score will be used as proof of possessing the necessary proficiency in the following competencies:

• Attention to Detail
• Customer Service
• Decision Making
• Interpersonal Skills
• Teamwork

A panel of subject matter experts will review your resume to determine if you meet the minimum proficiency level (as defined by the 2210 series IOR) for the following competencies:

• Information Management
• Oral Communication
• Problem Solving
• Technical Competence

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 and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.