Senior AI Platform Engineer

Leidos Inc; Adelphi (MD); Hybrid; USD 108,000 - 195,000; Full time

Job summary

Leidos is seeking a Senior AI Platform Engineer to lead the technical strategy for a secure agentic AI platform hosted in AWS GovCloud IL5. You will blend cloud and platform engineering with DoD security accreditation, RMF, and DevSecOps to enable secure deployment of AI capabilities.

Your role includes coordinating with platform security, ISSO/ISSM, and AO stakeholders, building secure engineering patterns, and driving accreditation from the start. Remote with on-site reporting near Adelphi, MD.

Qualifications

• Bachelor's or Master's degree in a related technical field.
• 8+ years in cloud, platform, DevOps, or MLOps engineering.
• U.S. citizenship with active Top Secret clearance and SCI eligibility.
• Experience supporting security accreditation/RMF with stakeholders.
• DoD or federal cloud environment IL4/IL5 or FedRAMP moderate/high.
• Hands-on AWS, Kubernetes, Docker, and IaC experience.

Responsibilities

• Lead accreditation strategy for the agentic AI platform and security controls.
• Develop artifacts for ATO and cATO, including diagrams and data flows.
• Collaborate with ISSO/ISSM and AO stakeholders on complex architectures.
• Design, build, and operate a secure AWS GovCloud IL5 platform.
• Deploy containerized workloads with Kubernetes and Docker; ensure observability.
• Build CI/CD pipelines and IaC using Platform One, Terraform or CloudFormation.
• Support image accreditation, container hardening, and secure delivery.
• Integrate AWS Bedrock and managed AI/ML services, manage IAM and data flows.
• Implement logging, monitoring, and cost attribution; apply MLOps practices.
• Mentor engineers and develop a platform roadmap aligned with missions.

Skills

Python

Cloud engineering

Kubernetes

Docker

IaC (Terraform/CloudFormation)

Security accreditation RMF

DoD IL5/IL4 experience

DevSecOps

CI/CD pipelines

Communication skills

Education

Bachelor's or Master's in CS/Engineering/Data Science/Math

Tools

AWS

Kubernetes

Docker

Terraform

CloudFormation

Platform One

SageMaker / Bedrock

Job description

Description

Leidos is seeking a Senior AI Platform Engineer to join our DCSB Artificial Intelligence & Agent Development team supporting the U.S. Army C5ISR Center.

In this role, you will lead the technical strategy for building and accrediting a secure agentic AI platform within AWS GovCloud (IL5). You will combine deep cloud and platform engineering expertise with DoD security accreditation, RMF, ATO/cATO, and DevSecOps practices to ensure AI capabilities can be securely deployed into operational environments.

This is not a traditional AI/ML development position. Your primary challenge will be creating a secure, observable, and accreditable platform on which agentic AI capabilities can operate.

You will serve as a key technical interface between platform engineering, security engineering, ISSO/ISSM personnel, and Authorizing Official (AO) stakeholders. You will also help establish secure engineering patterns so accreditation is built into the platform from the beginning rather than addressed after development.

Location: Remote, however must be within commuting distance of Adelphi, MD to report on site as needed.

Clearance: U.S. citizenship with an active Top Secret Clearance and ability to obtain SCI.

Primary Responsibilities

• Lead the technical accreditation strategy for the agentic AI platform, including security controls for models, tools, and agent-to-agent interactions.

• Develop and maintain technical artifacts supporting ATO and continuous ATO (cATO), including control narratives, architecture diagrams, data flows, boundary definitions, POA&M inputs, and security scan evidence.

• Partner with security engineering, ISSO/ISSM personnel, and AO stakeholders to translate complex AI and cloud architectures into evidence supporting authorization decisions.

• Design, build, and operate a secure AWS GovCloud IL5 platform supporting agentic AI workloads.

• Deploy and manage containerized workloads using Kubernetes and Docker, including scaling, observability, resiliency, and failure recovery.

• Build and maintain CI/CD pipelines and Infrastructure as Code (IaC) using Platform One and technologies such as Terraform or CloudFormation.

• Support container hardening, image accreditation, and secure software delivery practices.

• Integrate Amazon Bedrock and other authorized AI/ML services, managing IAM, network boundaries, service quotas, and data flow controls.

• Implement logging, tracing, monitoring, auditability, and cost attribution for agent and tool activity.

• Apply MLOps practices including model and prompt versioning, deployment gating, monitoring, and rollback.

• Mentor engineers on secure, accreditable architecture and development practices.

• Develop and execute the platform technical roadmap aligned with program and mission objectives.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field.

• 8+ years of hands-on experience in cloud, platform, DevOps, or MLOps engineering.

• U.S. citizenship with active Top Secret clearance with the ability to obtain and maintain SCI.

• Demonstrated experience supporting a system through formal security accreditation/RMF, including substantial contributions to security control documentation and direct interaction with security or authorization stakeholders.

• Experience operating within a DoD or federal accredited cloud environment, such as IL4/IL5, FedRAMP Moderate/High, or comparable.

• Hands-on experience with AWS, Kubernetes, Docker, and Infrastructure as Code.

• Experience designing, building, and maintaining CI/CD pipelines.

• Proficiency in Python.

• Working knowledge of how ML/LLM workloads are deployed, scaled, secured, and monitored.

• Strong communication skills with the ability to explain and defend technical architecture and security decisions.

Preferred Qualifications

• Active TS/SCI clearance.

• Experience supporting national security, defense, or DoD environments.

• Direct experience with continuous ATO (cATO), continuous monitoring, and pipeline-based security evidence.

• Experience with Platform One, Iron Bank, or Big Bang.

• Experience with AWS Bedrock, Bedrock AgentCore, SageMaker, or similar managed AI/ML services.

• Experience securing or accrediting systems involving LLMs, autonomous decision logic, agentic AI, or dynamic service interactions.

• Experience with cybersecurity operations, security engineering, or DoD cyber environments.

• DoD 8570 IAT Level II certification or equivalent.

Why Leidos?

You’ll work at the intersection of cloud engineering, cybersecurity, DevSecOps, and emerging AI technologies while supporting a mission focused on protecting critical cyber terrain.

You’ll have the opportunity to help establish how advanced agentic AI capabilities are securely engineered, accredited, and transitioned into operational DoD environments.

Join us and help build the secure foundation that enables mission-focused AI.

Pay Range

Pay Range $107,900.00 - $195,050.00

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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