Job Requirements
Adelphi, MD
Secret Polygraph not specified
Career Level not specified
Salary not specified
Join Premium to unlock estimated salaries 
Job Description
AzTech International is seeking a Senior AI Platform Engineer to join our DCSB Artificial Intelligence & Agent Development team. 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.
• Position Name: Senior AI Platform Engineer
• Location: Adelphi, MD (3 days onsite and 2 days remote)
• Clearance Requirement: U.S. citizenship with an active Top Secret Clearance and ability to obtain SCI. Can start at Secret.
• Work Schedule: Hybrid
Key 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.
• Position Name: Senior AI Platform Engineer
• Location: Adelphi, MD (3 days onsite and 2 days remote)
• Clearance Requirement: U.S. citizenship with an active Top Secret Clearance and ability to obtain SCI. Can start at Secret.
• Work Schedule: Hybrid
Key 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.
group id: 10322569