Senior Cloud Architect Lead with AI Cloud

Job summary

SAIC is seeking a Senior Cloud Architect Lead with AI Cloud expertise to support the Defense Counterintelligence and Security Agency (DCSA) in modernizing and transforming their enterprise IT capabilities. This role involves designing and delivering secure, compliant workloads within AWS GovCloud and Azure Government, integrating AI Cloud advancements for national security. The position is remote with limited travel and requires a Top Secret clearance.

Qualifications

• 10+ years in cloud architecture/engineering with deep hands‑on AWS experience.
• Proven delivery of secure workloads in AWS GovCloud (US) and/or Azure Government supporting DoD missions within a platform‑managed hub‑and‑spoke environment.
• Government program experience.
• Proven team leadership skills, including managing, mentoring, and guiding technical teams toward achieving project and operational goals.
• Demonstrated ability to translate system requirements into technical solutions.
• Ability to negotiate workload needs with platform owners/providers (networking, identity, security, logging/monitoring, DevOps).
• Strong grasp of DoD SRG, RMF (NIST SP 800‑53/53B), DISA STIGs, ATO/IATT processes, and continuous monitoring/POA&M practices.
• Experience leading teams in the implementation of these practices into workload designs.
• Bachelor's degree with 10+ years of hands-on and leadership experience as a Cloud Architect specializing in AWS, Azure, and/or AI Cloud solutions.
• Master’s degree with 7+ years of experience.
• US Citizenship required.
• Currently holding an active Top Secret Security Clearance.

Responsibilities

• Serve as a cloud architecture leader, providing guidance and mentorship to team members.
• Support a DoD mission program.
• Design and deliver secure, compliant workloads within a platform-managed hub-and-spoke environment across AWS GovCloud and Azure Government.
• Integrate advancements in AI Cloud capabilities for enhanced mission impact.
• Architect and deliver secure, scalable AWS‑centric solutions with multi‑cloud fluency across Azure Government/GCP.
• Operate as a spoke workload team inside a platform‑managed hub‑and‑spoke environment.
• Be well‑versed in platform management constructs (network hub, identity, operations, DevOps, shared services).
• Facilitate design discussions and articulate workload requirements to platform owners/providers for traditional cloud services and emerging AI-enabled services.
• Operate as a liaison between mission teams, leadership, and platform providers.
• Ensure workload strategies, including AI/ML-related initiatives, align with programmatic, operational, and compliance goals.
• Translate complex requirements, including traditional infrastructure needs and innovative AI-based workloads, into practical architectures.
• Balance compliance with DoD operational constraints (Cloud Computing SRG impact levels, RMF/ATO, DISA STIGs).
• Mentor and manage team members involved in workload architecture and cloud deployment.
• Ensure technical proficiency, adherence to compliance requirements, and timely delivery of mission objectives.
• Foster a collaborative team environment, driving alignment on priorities and ensuring clear communication.
• Act as the primary technical point of contact for workload-related activities.
• Provide direction to the team while coordinating with external stakeholders, including platform owners, vendor teams, and mission partners.
• Define and communicate workload requirements for routing, firewall/inspection, DNS, identity trust, logging/telemetry, secrets, egress, and AI infrastructure.
• Package requirements as intake/change requests to the platform team with clear technical specifications and risk/treatment rationales.
• Manage cross-functional teams and discussions, ensuring alignment between workload needs and platform provisioning.

Skills

Certifications

Degrees

Work schedule

Travel

Security clearance

Relocation