Sr. AI Infrastructure Engineer - Careers at Leidos
Leidos
Sr. AI Infrastructure Engineer - Careers at Leidos
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
Tags & Categories
Answer 10 quick questions to check your fit for Sr. AI Infrastructure Engineer - Careers at Leidos @ Leidos.
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Sr. AI Infrastructure Engineer - Careers at Leidos
Leidos
Sr. AI Infrastructure Engineer - Careers at Leidos
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
Tags & Categories
Answer 10 quick questions to check your fit for Sr. AI Infrastructure Engineer - Careers at Leidos @ Leidos.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs