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Director, Enterprise Capabilities Architect - Digital Transformation, AI, and Database

Job in Virginia, St. Louis County, Minnesota, 55792, USA
Listing for: Peraton
Full Time position
Listed on 2026-08-02
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Engineering
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

Required Qualifications:

  • 16+ years of industry experience
  • Deep expertise in AI/ML platform architecture including model development, training, and deployment pipelines, with demonstrated experience integrating AI and generative AI capabilities into enterprise or mission applications
  • Proven experience designing and implementing modern data platform architectures including data lakes, data mesh, and data fabric, with strong command of data governance, data quality, and data management frameworks in a federal environment
  • Demonstrated experience with MLOps practices and AI lifecycle management, from development and testing through production deployment and continuous monitoring
  • Demonstrated experience with Data Management Body of Knowledge (DMBoK), Data Management Capability Assessment Models (DCAM), Findable, Accessible, Interoperable, and Reusable (FAIR) Data Principles, and/or Control Objectives for Information and Related Technologies (COBIT)
  • Working knowledge of legacy system modernization strategies, application migration approaches, and API-first and microservices-based architecture patterns that accelerate digital transformation
  • Demonstrated experience applying human-centered design principles and iterative user research methods to federal digital transformation programs, with measurable outcomes in user adoption and mission effectiveness
  • Direct experience supporting federal government customers in a contractor environment, with a working understanding of mission requirements, acquisition processes, and the competitive federal market
  • Proven experience contributing to competitive federal pursuits, including technical solution development, architecture design, or competitive positioning in support of capture or proposal efforts
  • Demonstrated ability to translate complex AI, data, and digital transformation concepts into compelling solution narratives for capture teams, executive leadership, and government evaluators
  • A demonstrated bias for action and a track record of delivering technical work that contributed directly to competitive wins.
  • US citizenship and ability to obtain a Top Secret security clearance

Desired

Qualifications:

  • Active TS/SCI with Polygraph eligibility
  • Direct experience in capture management, proposal development, or technical volume leadership on large-scale, competitive federal digital transformation or AI/Data bids
  • Familiarity with Responsible AI and algorithmic accountability frameworks aligned to OMB AI policy and Executive Order 14110, including experience applying AI ethics and bias mitigation practices in federal program contexts
  • Experience with federated learning and privacy-preserving AI techniques for sensitive or classified data environments where centralized model training is not feasible
  • Working knowledge of AI-ready data infrastructure including vector database architecture and retrieval-augmented generation (RAG) frameworks supporting large language model deployment in federal environments
  • Experience with synthetic data generation techniques for AI model training in data-scarce or operationally sensitive federal environments
  • Familiarity with edge AI and on-device inference architectures supporting disconnected, intermittent, or contested operational environments
  • Experience with digital twin modeling applied to mission systems, infrastructure, or operational environments
  • Familiarity with multimodal AI architectures integrating text, imagery, signals, and sensor data for mission applications
  • Experience presenting AI/Data strategies and digital transformation roadmaps directly to senior government customers or evaluators
  • Prior experience developing competitive positioning materials, technical discriminators, or solution playbooks that supported pursuit efforts in the federal AI or digital transformation market
  • Relevant certifications such as AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, Azure AI Engineer, or relevant data architecture and governance certifications (e.g, CDMP)

Peraton is looking for a Director, Digital Transformation, AI, and Data Architect to join the Corporate Growth, Enterprise Capabilities and Solutions team as one of the…

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