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Sr. AI Infrastructure Engineer - Careers at Leidos

Leidos

Sr. AI Infrastructure Engineer - Careers at Leidos

full-timePosted: Feb 3, 2026

Job Description

Join Leidos as a Sr. AI Infrastructure Engineer

Leidos Digital Modernization Sector seeks a visionary Senior AI Infrastructure Engineer for full-time telework from any U.S. location. Power Leidos' Chief Data & Analytics Office (CDAO) and Operational AI (Ops.AI) division by designing secure, scalable AI infrastructure for mission-critical solutions.

Primary Responsibilities

  • Lead deployment of enterprise-scale AI platforms with cloud (AWS, Azure, GCP) and on-premise tech.
  • Build MLOps pipelines using Kubeflow, MLflow, SageMaker for model lifecycle management.
  • Ensure 99.99% uptime, performance optimization, and business continuity for AI systems.
  • Partner with data scientists and stakeholders to align infrastructure with strategic goals.
  • Enforce AI risk management, cybersecurity, and compliance (NIST, FedRAMP, CMMC).
  • Evaluate GPU-accelerated tools and innovate AI capabilities.
  • Mentor teams on Kubernetes, Terraform, and DevOps best practices.

Basic Qualifications

  • 12+ years experience with Bachelor's in CS/Engineering (or equivalent).
  • Expertise in Docker, Kubernetes, IaC (Terraform, Ansible), Python/Bash.
  • MLOps, CI/CD mastery; cybersecurity for AI.
  • U.S. Citizen, security clearance eligible.

Preferred Qualifications

  • AI/ML platforms (Kubeflow, SageMaker); GPU computing.
  • Certifications: AWS Solutions Architect, CKA, DevOps Engineer.
  • Defense compliance experience (DoD IL, CMMC).

Why Leidos?

Outthink, outbuild, outpace the status quo. Competitive pay $131,300-$237,350 USD, full telework, and impactful work in defense innovation. Apply now to disrupt and accelerate AI missions.

Locations

  • Remote, United States, United States (Remote)

Salary

131,300 - 237,350 USD / yearly

Estimated Salary Rangehigh confidence

131,300 - 237,350 USD / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • AWSintermediate
  • Azureintermediate
  • GCPintermediate
  • Dockerintermediate
  • Kubernetesintermediate
  • Terraformintermediate
  • Ansibleintermediate
  • MLOpsintermediate
  • CI/CD Pipelinesintermediate
  • Pythonintermediate
  • Bashintermediate
  • Infrastructure as Code (IaC)intermediate
  • GPU Computingintermediate
  • Kubeflowintermediate
  • MLflowintermediate
  • SageMakerintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field with 12+ years experience (experience)
  • Hands-on experience with cloud services (AWS, Azure, GCP) (experience)
  • Expert in MLOps, CI/CD, IaC (experience)
  • Proficiency in Python or Bash scripting (experience)
  • Strong cybersecurity knowledge for AI systems (experience)
  • U.S. Citizen able to obtain security clearance (experience)
  • DevOps/Cloud certifications preferred (AWS Certified DevOps Engineer, CKA) (experience)
  • Experience with trusted AI frameworks and federal compliance (DoD IL, FedRAMP, NIST, CMMC) (experience)

Responsibilities

  • Build and maintain scalable, secure AI infrastructure using cloud and on-premise tech
  • Implement MLOps tools, CI/CD pipelines for AI model training, deployment, monitoring
  • Ensure high availability, reliability, performance of AI platforms
  • Collaborate with data scientists, engineers, managers on architecture and requirements
  • Drive compliance with AI lifecycle, risk management, security protocols
  • Evaluate and recommend emerging AI technologies and frameworks
  • Mentor teams on architectural patterns and best practices

Benefits

  • general: Full-time telework from any U.S. location
  • general: Competitive salary $131,300 - $237,350
  • general: Comprehensive health, dental, vision insurance
  • general: 401(k) matching and retirement plans
  • general: Professional development and certifications support
  • general: Mission-driven work in defense and federal sectors
  • general: Flexible hybrid/remote arrangements

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Leidos logo

Sr. AI Infrastructure Engineer - Careers at Leidos

Leidos

Sr. AI Infrastructure Engineer - Careers at Leidos

full-timePosted: Feb 3, 2026

Job Description

Join Leidos as a Sr. AI Infrastructure Engineer

Leidos Digital Modernization Sector seeks a visionary Senior AI Infrastructure Engineer for full-time telework from any U.S. location. Power Leidos' Chief Data & Analytics Office (CDAO) and Operational AI (Ops.AI) division by designing secure, scalable AI infrastructure for mission-critical solutions.

Primary Responsibilities

  • Lead deployment of enterprise-scale AI platforms with cloud (AWS, Azure, GCP) and on-premise tech.
  • Build MLOps pipelines using Kubeflow, MLflow, SageMaker for model lifecycle management.
  • Ensure 99.99% uptime, performance optimization, and business continuity for AI systems.
  • Partner with data scientists and stakeholders to align infrastructure with strategic goals.
  • Enforce AI risk management, cybersecurity, and compliance (NIST, FedRAMP, CMMC).
  • Evaluate GPU-accelerated tools and innovate AI capabilities.
  • Mentor teams on Kubernetes, Terraform, and DevOps best practices.

Basic Qualifications

  • 12+ years experience with Bachelor's in CS/Engineering (or equivalent).
  • Expertise in Docker, Kubernetes, IaC (Terraform, Ansible), Python/Bash.
  • MLOps, CI/CD mastery; cybersecurity for AI.
  • U.S. Citizen, security clearance eligible.

Preferred Qualifications

  • AI/ML platforms (Kubeflow, SageMaker); GPU computing.
  • Certifications: AWS Solutions Architect, CKA, DevOps Engineer.
  • Defense compliance experience (DoD IL, CMMC).

Why Leidos?

Outthink, outbuild, outpace the status quo. Competitive pay $131,300-$237,350 USD, full telework, and impactful work in defense innovation. Apply now to disrupt and accelerate AI missions.

Locations

  • Remote, United States, United States (Remote)

Salary

131,300 - 237,350 USD / yearly

Estimated Salary Rangehigh confidence

131,300 - 237,350 USD / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • AWSintermediate
  • Azureintermediate
  • GCPintermediate
  • Dockerintermediate
  • Kubernetesintermediate
  • Terraformintermediate
  • Ansibleintermediate
  • MLOpsintermediate
  • CI/CD Pipelinesintermediate
  • Pythonintermediate
  • Bashintermediate
  • Infrastructure as Code (IaC)intermediate
  • GPU Computingintermediate
  • Kubeflowintermediate
  • MLflowintermediate
  • SageMakerintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field with 12+ years experience (experience)
  • Hands-on experience with cloud services (AWS, Azure, GCP) (experience)
  • Expert in MLOps, CI/CD, IaC (experience)
  • Proficiency in Python or Bash scripting (experience)
  • Strong cybersecurity knowledge for AI systems (experience)
  • U.S. Citizen able to obtain security clearance (experience)
  • DevOps/Cloud certifications preferred (AWS Certified DevOps Engineer, CKA) (experience)
  • Experience with trusted AI frameworks and federal compliance (DoD IL, FedRAMP, NIST, CMMC) (experience)

Responsibilities

  • Build and maintain scalable, secure AI infrastructure using cloud and on-premise tech
  • Implement MLOps tools, CI/CD pipelines for AI model training, deployment, monitoring
  • Ensure high availability, reliability, performance of AI platforms
  • Collaborate with data scientists, engineers, managers on architecture and requirements
  • Drive compliance with AI lifecycle, risk management, security protocols
  • Evaluate and recommend emerging AI technologies and frameworks
  • Mentor teams on architectural patterns and best practices

Benefits

  • general: Full-time telework from any U.S. location
  • general: Competitive salary $131,300 - $237,350
  • general: Comprehensive health, dental, vision insurance
  • general: 401(k) matching and retirement plans
  • general: Professional development and certifications support
  • general: Mission-driven work in defense and federal sectors
  • general: Flexible hybrid/remote arrangements

Target Your Resume for "Sr. AI Infrastructure Engineer - Careers at Leidos" , Leidos

Get personalized recommendations to optimize your resume specifically for Sr. AI Infrastructure Engineer - Careers at Leidos. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Sr. AI Infrastructure Engineer - Careers at Leidos" , Leidos

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Remote Teleworker USLeidos CareersAI Engineering JobsUnited States HiringMLOps RemoteEngineeringInformation TechnologySecurity

Answer 10 quick questions to check your fit for Sr. AI Infrastructure Engineer - Careers at Leidos @ Leidos.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.