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 Tope 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.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting:August 25, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
The Leidos pay range for this job level is a general guideline only and 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.
Skills Required
- 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
- Active Top Secret clearance with the ability to obtain and maintain SCI
- Experience supporting a system through formal security accreditation/RMF, including security control documentation and interaction with security or authorization stakeholders
- Experience operating within a DoD or federal accredited cloud environment, such as IL4/IL5 or FedRAMP Moderate/High
- 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 deploying, scaling, securing, and monitoring ML/LLM workloads
- Strong communication skills for explaining and defending technical architecture and security decisions
- Active TS/SCI clearance
- Experience supporting national security, defense, or DoD environments
- Experience with continuous ATO, 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
Leidos Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Leidos and has not been reviewed or approved by Leidos.
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Healthcare Strength — Healthcare coverage is described as comprehensive, with multiple plan options, low office-visit copays in some plans, and access to mental health and wellness support tools. The availability of HSA/FSA options and employer contributions is positioned as a meaningful part of the total package.
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Retirement Support — Retirement benefits are framed as a strong component of total rewards, highlighted by a 401(k) match and immediate vesting in the standard package. The Employee Stock Purchase Plan is also presented as an additional long-term wealth-building feature.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle supports extend beyond core insurance, including wellness programs, fitness-related stipends, and assistance resources. Work flexibility and related perks are also included as part of the broader rewards experience.
Leidos Insights
What We Do
We Are Leidos For 50 years we have been tackling some of the biggest problems that face our nation and our world. OUR MISSION Through our culture of innovation and history of performance, we develop deep customer trust built on integrity and create enduring solutions that improve our world. Leidos is a science and technology solutions leader working to address some of the world’s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. The company’s 43,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Va., Leidos reported annual revenues of approximately $11.09 billion for the fiscal year ended January 3, 2020. Leidos was cited for the meaningful work employees perform that is challenging, impactful, and aligned with our customers’ missions as reasons professionals want to work and stay at our company. Leidos has also been named to lists including Forbes’ Best Employers for Diversity, Forbes’ America’s Best Employers for Women, Military Times Best for Vets Employers, and Ethisphere Institute’s World's Most Ethical Companies®. Employees enjoy career enrichment opportunities available through mobility and development and experience rewarding relationships with supportive supervisors and talented colleagues and customers. Employees appreciate our flexible work environment, allowing for and encouraging a true work-life balance. Our professionals are also excited about our Employee Resource Groups, like the newly launched Collaborative Outreach with Remote and Embedded Employees (CORE), which strives to create an environment where every employee, regardless of location, feels fully engaged as a valued employee of Leidos. Your most important work is ahead.
