Jobs · Virginia

AI/ML Engineer

Booz Allen Hamilton · Hampton, VA · 3 days ago
Hybrid$78k–$176k/yrFull-time

About the role

Imagine using artificial intelligence (AI) to improve critical IT operations for integrated warfighting capabilities. As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly deliver the best operational data. Booz Allen is the leading provider of AI services to the nation, and we’re looking for a DevOps engineer with knowledge of AIOps, ML Ops, model ops, and data ops to develop tools and get them into the hands of those who need them most.

Responsibilities

  • Streamline IT operations to enhance platform productivity to improve integrated warfighting capabilities including Agentic AI positioned as a critical enabler for next-gen autonomy and decision-support capabilities.
  • Relate to AI enabled, policy controlled containerized application and data workload management and orchestration required for CDO-L and resilient capabilities.
  • Design and maintain robust AI/ML pipelines, automate workflows, and integrate AI capabilities into production systems.
  • Collaborate with others including AI Model Engineers, Data Engineers, Cloud Architects, and ISSEs to align AI and ML workflows with infrastructure and security requirements, ensuring seamless integration into production and mission systems.
  • Contribute to solutions that optimize resilience of warfighting capabilities including their data flows, operational workflow automation, workload environmental monitoring, workload management, and resilient mission execution across hybrid compute environments.

Requirements

  • 5+ years of experience in the development of tools and processes to drive DevOps or DevSecOps maturity by automating builds, testing, monitoring, and pushing releases across environments.
  • 5+ years of experience with scripting languages such as Python or Linux Shell Script and configuration management tools.
  • 5+ years of experience automating infrastructure provisioning, in the creation, and improvement of continuous automation across multiple technical stacks.
  • 5+ years of experience with troubleshooting, triaging, and resolving issues with CI/CD pipeline failures or slowness, built using Kubernetes, Docker, or Jenkins.
  • 5+ years of experience with AI/ML capabilities applied to policy controlled, workload management and orchestration including Zero Trust Containerized applications and data.
  • 5+ years of experience with troubleshooting, triaging, and resolving issues related to both open source and commercial tools in public cloud environments.
  • Experience with artificial intelligence and machine learning frameworks for monitoring and optimization and containerization and container orchestration platforms and tools.

Qualifications

  • Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
  • Experience integrating AI systems architecture, AI platforms, or ML flow.
  • TS/SCI clearance.
  • ML, DevOps, or solution architecture certification.

Skills

  • Experience with scripting languages such as Python or Linux Shell Script.
  • Experience with configuration management tools.
  • Experience with automated infrastructure provisioning.
  • Experience with troubleshooting and resolving CI/CD pipeline issues.
  • Experience with AI/ML capabilities applied to policy controlled, workload management and orchestration.
  • Experience with troubleshooting and resolving issues related to AI/ML tools in public cloud environments.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
  • Experience integrating AI systems architecture, AI platforms, or ML flow.
  • TS/SCI clearance.
  • ML, DevOps, or solution architecture certification.

Benefits

  • Health, life, disability, financial, and retirement benefits.
  • Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
  • Recognition awards program.

Pay

The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD).

Schedule

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.

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