Senior AI Platform Engineer

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 Secret Clearance and ability to obtain Top Secret clearance.

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:

• Bachelors or Masters 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.

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

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

Youll 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.

If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.