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Accenture Federal Services Logo

AI / ML Engineer Manager

Accenture Federal Services

Salary not specified
Nov 17, 2025
Arlington, VA, US
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Accenture Federal Services is looking to build and manage a centralized platform that provides access to pre-trained and custom-built AI/ML models, simplifying their integration and accelerating the delivery of AI-powered capabilities across the enterprise for the DoD.

Requirements

  • Deep expertise in developing and deploying ML models using common frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Proven experience building and maintaining production ML systems in a cloud environment (AWS, Azure, GCP).
  • Strong understanding of MLOps principles and hands-on experience with relevant tools (e.g., MLflow, Kubeflow, AWS SageMaker, Azure ML).
  • Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD tools.
  • Experience with programming skills in Python and familiarity with software engineering best practices.
  • Direct experience building a Model-as-a-Service or Machine-Learning-as-a-Service platform.
  • Experience with ML platforms like Databricks or AWS SageMaker AI.

Responsibilities

  • Define and execute the technical strategy for the MaaS platform, including the frameworks for model training, versioning, deployment, and monitoring.
  • Oversee the design, development, and deployment of a diverse portfolio of machine learning models to solve complex mission challenges.
  • Establish and enforce robust MLOps practices to ensure automated, reliable, and scalable CI/CD pipelines for machine learning models.
  • Architect the service layer for the MaaS platform, ensuring models are exposed via secure, scalable, and well-documented APIs.
  • Collaborate with data scientists, data engineers, and mission stakeholders to identify use cases and translate requirements into production-ready models.
  • Implement governance, security, and ethical AI standards across the entire model lifecycle.
  • Manage project timelines, resource allocation, and stakeholder communication for all MaaS initiatives.

Other

  • Lead, mentor, and manage a high-performing team of ML modeling developers and MLOps engineers.
  • US Citizenship (No dual citizenship)
  • Active TS or TS/SCI Clearance
  • Familiarity with Infrastructure-as-Code (IaC) tools like Terraform.
  • Experience working in a high-security DoD or Intelligence Community environment.