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Agentic AI and Machine Learning Engineering

Active

Federal

Contract Overview

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

AI Contract Overview

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This subcontract focuses on the development and implementation of agentic artificial intelligence and machine learning models to support prime contractors on Defense Health Agency projects. The primary objectives include designing ML-based risk scoring algorithms for medical readiness and creating agentic AI to automate notification systems and document-driven medical workflows. The project requires specialized expertise in medical AI ethics and accuracy to ensure the delivery of integrated AI/ML modules for automated triage and risk scoring. Performance for this effort is centered in Grassy Creek under NAICS code 541715 for the Department of Defense.

General Info

Subcontract for agentic AI and ML medical risk scoring for Defense Health Agency.

Agency

Department Of Defense → Defense Health Agency (dha)View Agency

NAICS

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

Place of Performance

GRASSY CREEK, VA, USA

Set-Aside

NONE

Documents

This scope was carved out of HT003826SC004.

The full solicitation package (3 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Profiling Action And Readiness Tracking Unified System (PARATUS) CSO

AI Contract Breakdown

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Timeline

PostedJul 20

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Organization & Contact Information

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AgencyDepartment Of Defense → Defense Health Agency (dha)

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department Of Defense → Defense Health Agency (dha)

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Office AddressN/A

ContactsNo contact information available

Full Description

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Develops and implements agentic artificial intelligence and machine learning models for prime contractors on Defense Health Agency (DHA) projects. Designs ML-based risk scoring algorithms for medical readiness and develops agentic AI to automate document-driven medical workflows and notification systems. Requires expertise in medical AI ethics and accuracy. Delivers integrated AI/ML modules for risk scoring and automated triage.

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