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

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As the Principal Cybersecurity Engineer, you will serve as Leidos' primary technical interface to the Government lead for Enterprise Cybersecurity. You will provide strategic and hands-on technical leadership across cybersecurity architecture, engineering, modernisation, and technology integration.

Your responsibilities will include:

• Leading the design, architecture, integration, and implementation of complex enterprise cybersecurity systems and supporting technologies.
• Serving as a senior technical advisor to Government stakeholders and Leidos leadership on enterprise cybersecurity strategy, architecture, risk, and modernisation.
• Assessing organisational progress against cybersecurity strategies and developing recommendations aligned with mission objectives and stakeholder priorities.
• Evaluating emerging cybersecurity technologies and leading feasibility studies, proofs of concept, pilot programs, and technology assessments.
• Assessing enterprise cybersecurity risk, including weaknesses in platforms, access controls, system configurations, networks, applications, and data environments.
• Providing engineering leadership for the design, development, and implementation of solutions that protect and monitor enterprise networks and systems.
• Leading the development and integration of innovative cybersecurity solutions through collaboration with engineering, operations, cybersecurity, Government, and industry experts.
• Identifying security-relevant data, technologies, and capabilities across on-premises, hybrid-cloud, and multi-cloud environments and providing formal technical recommendations to stakeholders.
• Guiding cybersecurity modernisation initiatives, including the migration of services, applications, and data from on-premises environments to hybrid and multi-cloud architectures.
• Engaging with technology vendors, evaluating solutions, and recommending technologies for enterprise implementation.
• Influencing technical and organisational change by communicating complex cybersecurity concepts, recommendations, and approaches to technical and executive stakeholders.

The successful candidate will have:

• A bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering, or a related technical discipline with 12+ years of relevant IT/cybersecurity experience.
• 4+ years of cybersecurity engineering experience directly supporting the Federal Government as a Government or contractor employee.
• Extensive experience developing and executing migration strategies for services, applications, or data moving from on-premises environments to hybrid or multi-cloud architectures.
• Strong knowledge and operational experience with Federal cybersecurity requirements and frameworks, including NIST, FISMA, and FedRAMP.
• Deep understanding of cybersecurity architecture, technical platforms, threat management, security controls, and industry best practices.
• Experience identifying security-relevant data and technologies across on-premises and cloud environments and developing technical solutions for evolving mission requirements.
• Experience evaluating vendors, designing technical solutions, and selecting cybersecurity technologies for enterprise implementation.
• Broad technical knowledge across enterprise IT, systems engineering, cybersecurity engineering, IT lifecycle methodologies, modernisation, and transformation.
• Demonstrated ability to influence stakeholders and gain support for new technologies, concepts, practices, and approaches.
• Experience leading technical transformation and improving enterprise cybersecurity services and capabilities.
• CISSP certification.
• U.S. citizenship with an active Top Secret clearance and eligibility to obtain a SCI.
• Exceptional written and verbal communication skills with the ability to engage technical teams, Government stakeholders, and senior leadership.

We offer a salary range of $131,300.00 - $237,350.00.

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