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Foundation Model AI Development & Engineering

Active

Federal

Response Deadline11/15/2026, 05:00:00 PM UTC

Contract Overview

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

AI Contract Overview

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The Foundation Model AI Development and Engineering subcontract supports prime contractors on Joint Warfare Analysis Center projects for the Department of Defense. The scope of work encompasses the full lifecycle of foundation model development, including distributed training on GPU clusters, post-training alignment through RLHF and DPO, and the deployment of optimized inference stacks utilizing vLLM or TensorRT-LLM. Technical proficiency in PyTorch and JAX is required to deliver fully trained models and optimized inference pipelines. This opportunity is based in Dahlgren and requires personnel to hold a TS/SCI clearance. Interested parties must respond by November 15, 2026, for this effort categorized under NAICS code 541715.

General Info

DoD AI foundation model development in Dahlgren requiring TS/SCI clearance by November 15, 2026.

Agency

Department Of Defense → FA4890 Hq Acc Amic

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

Dahlgren, VA, 22448, USA

Set-Aside

NONE

Documents

This scope was carved out of FA489027RFI0004.

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

View the prime solicitation

RFI CNET Reverse Engineering and AI

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Timeline

PostedNov 3

subcontract

Response DeadlineNov 15

Submission deadline

Response Deadline

11/15/2026, 05:00:00 PM UTCin 12 days

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Organization & Contact Information

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AgencyDepartment Of Defense → FA4890 Hq Acc Amic

ContactsNo contacts available

OfficeN/A

Organization / AgencyDepartment Of Defense → FA4890 Hq Acc Amic

Office AddressN/A

ContactsNo contact information available

Full Description

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Provides full-lifecycle foundation model development for prime contractors on Joint Warfare Analysis Center (JWAC) projects. Executes distributed training on GPU clusters, implements post-training alignment (RLHF, DPO), and deploys inference optimization stacks using vLLM or TensorRT-LLM. Requires proficiency in PyTorch and JAX. TS/SCI clearance required. Delivers trained models and optimized inference pipelines.

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