Senior AI Platform Engineer

Leidos • Adelphi, MD

1d • $107,900 - $195,050 • Remote

About The Position

Leidos is seeking a Senior AI Platform Engineer to join their DCSB Artificial Intelligence & Agent Development team, supporting the U.S. Army C5ISR Center. The role focuses on leading the technical strategy for building and accrediting a secure agentic AI platform within AWS GovCloud (IL5). This position requires a blend of cloud and platform engineering expertise with DoD security accreditation, RMF, ATO/cATO, and DevSecOps practices to ensure secure deployment of AI capabilities into operational environments. It is not a traditional AI/ML development role, but rather centers on creating a secure, observable, and accreditable platform for agentic AI. The engineer will act as a key technical liaison between platform engineering, security engineering, ISSO/ISSM personnel, and Authorizing Official (AO) stakeholders, and will help establish secure engineering patterns for built-in accreditation.

Requirements

• 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 Secret clearance with the ability to obtain and maintain Top Secret.
• 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.

Nice To Haves

• 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.

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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior