Telework Eligible

Yes

Major Duties

• Serves as an Artificial Intelligence (AI) Solutions Architect, providing enterprise-level expertise in designing, building, and integrating advanced artificial intelligence and analytics solutions to address complex mission requirements.
• Ensures that AI solutions are scalable, secure, mission-aligned, and reusable across DLA's operational landscape.
• Leads the translation of mission and business needs into AI solution architectures, ensuring that design and implementation adhere to DoW architecture standards.
• Works across functional and technical teams to deliver AI-enabled products, platforms, and tools that improve operational efficiency, decision support, and warfighter readiness.

Qualification Summary

To qualify for an IT Specialist your resume and supporting documentation must support: A. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-after-competitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes: - Lead the creation of AI architecture blueprints that define how AI/ML capabilities are integrated into the enterprise technology stack, ensuring scalability, security, interoperability, and alignment with RAI principles. - Conducting comprehensive architectural assessments, analyzing mission and business requirements, and translating them into detailed technical designs for deployment across on-premises, cloud, and hybrid environments. - Designs and governs machine learning operations (MLOps) frameworks that embed automation, testing, security, and governance into the AI lifecycle, enabling rapid, reliable, and compliant delivery of AI-enabled capabilities. 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.

The Nation's Logistics Combat Support Agency, responsible for delivering agile, adaptive, and resilient logistics support across the continuum of conflict.