Note: The job is a remote job and is open to candidates in USA. Leidos is seeking a Senior AI Platform Engineer to support the U.S. Army C5ISR Center through its DCSB Artificial Intelligence & Agent Development team. The role leads the strategy, design, operation, and accreditation of a secure agentic AI platform in AWS GovCloud, integrating cloud engineering, DoD security accreditation, RMF, ATO/cATO, and DevSecOps practices. The engineer will collaborate with security and authorization stakeholders, establish secure engineering patterns, and mentor engineers on accreditable platform development.
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
Skills
- * 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
- 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
- * 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.
Benefits
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
- Remote work, with the requirement to be within commuting distance of Adelphi, MD to report on site as needed
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