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Agentic-AI and LLM Architecture Specialist

Active
SBIR / STTR

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This subcontract opportunity for the U.S. Army requires a specialist in Agentic AI and LLM Architecture to provide technical expertise for research projects. The selected provider will design agentic workflows, develop schemas for auditable data capture, and implement prototypes utilizing Vector Databases and LLM frameworks. A primary objective is ensuring that all AI outputs adhere to government acquisition audit standards, with final deliverables including prototype code, architecture diagrams, and technical validation reports. The opportunity is a Total Small Business Set-Aside under NAICS code 541511, specifically targeting firms with fewer than 500 employees in accordance with SBIR/STTR mandates. Interested parties must submit their responses by October 7, 2026, following the posting date of September 23, 2026.

General Info

US Army subcontract for Agentic AI and LLM expertise, due October 7, 2026.

Agency

U.S. Department of Defense → U.S. ArmyView Agency

NAICS

541511 - Custom Computer Programming ServicesView NAICS

Place of Performance

Not specified

Set-Aside

SBA

Documents

This scope was carved out of ARM26TX06-NV003.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Agentic-AI, Schema-Driven Decision Management for Auditable Studies and Acquisition Decisions

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Timeline

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Response Deadline

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Organization & Contact Information

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AgencyU.S. Department of Defense → U.S. Army
ContactsNo contacts available
OfficeN/A
Organization / Agency
U.S. Department of Defense → U.S. Army
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Office AddressN/A
ContactsNo contact information available

Full Description

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Supplies specialized technical expertise in Agentic AI architectures for prime contractors on U.S. Army research projects. Designs agentic workflows, develops schemas for auditable data capture, and implements prototypes using LLM frameworks and Vector Databases. Ensures AI output meets government acquisition audit standards. Delivers prototype code, architecture diagrams, and technical validation reports.

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