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MLOps & DevSecOps Integration

Active
Federal

Contract Overview

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

General Info

NAICS

541512 - Computer Systems Design Services

Place of Performance

0, MD, USA

Set-Aside

NONE

Documents

This scope was carved out of FA701427SAFCNDAMES.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Data & AI Mission Expert Services (DAMES) IDIQ

AI Contract Breakdown

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Timeline

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Organization & Contact Information

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AgencyDepartment Of Defense → FA7014 Afdw Pk
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Establishes and maintains automated infrastructure for continuous delivery and training of AI models for prime contractors on Department of the Air Force CDAO projects. Implements CI/CD/CT pipelines, maintains central model registries, and optimizes model serving using TensorRT, ONNX, or Triton. Uses Kubernetes and DevSecOps toolchains. TS/SCI clearance required. Delivers automated MLOps pipelines and optimized model serving infrastructure.

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Solicitation # FA701427SAFCNDAMES
The Department of the Air Force Chief Data and Artificial Intelligence Officer is conducting market intelligence via a Request for Information to identify sources for a potential Indefinite Delivery, Indefinite Quantity (IDIQ) contract for Data and AI Mission Expert Services (DAMES). The primary objective of this requirement is to provide the Department of the Air Force with advanced data analysis capabilities to achieve decision superiority and operational agility. The scope of work encompasses data acquisition, preparation, and architecture, the development of enterprise analytics and AI solutions—including generative AI and RAG capabilities—and the implementation of data and AI governance. These services must be delivered across various network classifications up to TS/SCI, including NIPR, SIPR, and JWICS, with a primary place of performance at the Pentagon. The government is considering the Highest Technically Rated Offeror (HRTO) selection methodology, emphasizing technical ability for these knowledge-based services. Interested respondents must submit a capability statement limited to 15 pages, detailing their technical approach, relevant past performance, and a timeline for obtaining the required skill sets and clearances. Key technical requirements include adherence to VAULTIS data principles, compliance with the Risk Management Framework, and the use of agile and DevSecOps practices. Deliverables include a Program Management Plan, Monthly Status Reports, and a Quality Control Plan. The government is currently seeking industry feedback on the requirements and the proposed acquisition strategy to refine the final solicitation.
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