# Senior AI Platform Engineer

**Company**: Leidos
**Location**: Adelphi, MD
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $107,900.00 - $195,050.00
**Category**: Engineering
**Industry**: Technology

**Apply**: https://leidos.wd5.myworkdayjobs.com/en-US/External/job/Adelphi-MD/Senior-AI-Platform-Engineer_R-00192138?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ce77aaaf-918

## 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.

**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 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.

**Benefits:**

- Competitive salary range: $107,900.00 - $195,050.00

- Opportunity to work at the intersection of cloud engineering, cybersecurity, DevSecOps, and emerging AI technologies

- Chance to help establish how advanced agentic AI capabilities are securely engineered, accredited, and transitioned into operational DoD environments

## Skills

### Required
- AWS
- Kubernetes
- Docker
- Infrastructure as Code
- Python
- DevOps
- MLOps
- Cloud Engineering
- Cybersecurity
- RMF
- ATO/cATO
- DevSecOps

### Nice to have
- 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

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Source: [Apply at leidos.wd5.myworkdayjobs.com](https://leidos.wd5.myworkdayjobs.com/en-US/External/job/Adelphi-MD/Senior-AI-Platform-Engineer_R-00192138?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)