AI Infrastructure Lead

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The AI Infrastructure Lead is a senior technical strategist and hands‑on engineering leader responsible for designing, securing, modernizing, and operating the advanced AI infrastructure environments required to power mission‑critical Defense capabilities. This role drives infrastructure strategy, accelerates modernization across hybrid cloud and high‑performance computing (HPC) environments, and ensures secure, compliant, end‑to‑end orchestration of AI workloads from onboarding tools and datasets to operating compute clusters to deploying models into classified inference environments.

This individual will shape and lead growth across major AI infrastructure opportunities including SUNet 2.0 modernization, HITS‑U, and JTSO JEDAI while supporting delivery excellence once pursuits are won. Their work directly enables the creation of modern digital cores, hybrid cloud ecosystems, high‑assurance AI pipelines, and enterprise‑scale secure environments aligned with AFS cloud modernization patterns and DoD AI‑first mission priorities.

Drive infrastructure architecture and modernization strategy across:

• SUNet 2.0 – enabling secure, resilient, hybrid environments connecting cloud and on‑prem HPC resources.
• HITS‑U – supporting classified mission data flows, compute orchestration, and modernized digital core environments.
• JTSO JEDAI – shaping the infrastructure backbone for Joint AI enablement, cross‑domain access, and rapid model deployment.

Partner with portfolio leadership to shape growth strategy across AI infrastructure opportunities.

Responsibilities include:

• Developing pursuit strategies and infrastructure win themes.
• Leading technical volumes and solution architecture for proposals.
• Joining orals as enterprise AI infrastructure authority.
• Supporting customer engagements and modernization vision briefings.

Provide hands‑on technical leadership during delivery by:

• Guiding engineering teams through environment setup.
• Leading modernization plans and operating model transitions.
• Overseeing performance, security, and reliability of inference environments.
• Ensuring mission outcomes and operational readiness.

• Deep knowledge of hybrid and multi‑cloud architectures, cloud‑native platforms, and secure infrastructure modernization patterns.
• Experience with high‑performance computing, distributed training, and GPU‑accelerated workloads.
• Expertise in secure data onboarding, cross‑domain operations, and AI pipeline orchestration.
• Strong understanding of zero‑trust architectures, data governance, and compliant secure environments.
• Proven ability to operate at the intersection of mission needs, infrastructure engineering, and AI strategy.

• Modernized SUNet 2.0, HITS‑U, and JEDAI‑aligned infrastructure with measurable…