Technical Project Lead / Manager

About this role

<div class="content-intro"><div> <div> </div> <div>At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. </div> <div> </div> <div>Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. </div> <div> </div> <div>Join us to drive positive, lasting change that moves missions and the government forward!</div> <div> </div> </div></div><p><strong>Overview </strong></p> <p>The Technical Project Lead / Manager will oversee the planning, delivery, and operational stability of cloud and on‑premises environments supporting advanced AI/ML workloads and high‑performance computing (HPC) systems. This role combines hands‑on technical leadership with project management responsibilities, ensuring that infrastructure, networking, CI/CD pipelines, and GPU‑accelerated compute environments meet mission and program objectives. The ideal candidate has strong experience with hybrid cloud architectures, HPC or GPU‑based environments, DevSecOps/CI‑CD automation, and Agile delivery frameworks. The Technical Project Lead will guide engineering teams, collaborate with stakeholders, and manage execution across multiple parallel workstreams.</p> <p><strong>Responsibilities </strong></p> <ul> <li>Lead the design, deployment, and optimization of cloud and on‑prem compute environments supporting AI/ML, MLOps, and HPC workloads.</li> <li>Oversee GPU‑enabled compute clusters, HPC networking, and performance tuning.</li> <li>Direct the implementation and maintenance of CI/CD pipelines supporting model training, model deployment, and data‑intensive workflows.</li> <li>Guide engineers on containerization, orchestration, system architecture, and infrastructure modernization.</li> <li>Ensure systems comply with security, accessibility, and governance requirements (e.g., DevSecOps practices, hardened cloud/on‑prem environments).</li> <li>Own end‑to‑end delivery for infrastructure and engineering initiatives, including scope, schedule, risks, and dependencies.</li> <li>Develop and maintain project roadmaps, resource plans, and technical execution milestones.</li> <li>Drive a modified Agile delivery process tailored to the team’s engineering workflows, ensuring consistent cadence and continuous improvement.</li> <li>Coordinate cross‑functional contributors including cloud engineers, systems engineers, platform engineers, data engineers, and security professionals.</li> <li>Monitor project health metrics and proactively escalate obstacles. Facilitate technical reviews, sprint planning, backlog refinement, and stakeholder briefings.</li> <li>Work directly with leadership, engineering teams, and mission/program stakeholders to align technical priorities and delivery timelines.</li> <li>Translate complex technical requirements into clear work packages and implementation strategies.</li> <li>Maintain strong relationships across internal teams and external partners supporting cloud, network, and AI/ML projects.</li> <li>Oversee operational readiness, system reliability, and performance of hybrid compute environments.</li> <li>Guide teams in implementing best practices for monitoring, logging, fault tolerance, and capacity management.</li> <li>Partner with security teams to ensure compliance, secure configuration, and continuous risk management.</li> <li>Support troubleshooting of complex infrastructure, networking, or performance issues across GPU and HPC platforms.</li> </ul> <p><strong>Qualifications </strong></p> <ul> <li>5 years of experience with any of the following knowledge: <ul> <li>Experience leading hybrid cloud and on‑premises infrastructure projects (AWS or private cloud).</li> <li>Strong background in systems engineering, cloud engineering, or HPC engineering.</li> <li>Hands‑on familiarity with GPU‑accelerated compute, containerized workloads, Kubernetes, and cluster‑based architectures.</li> <li>Working knowledge of CI/CD pipelines and DevSecOps tooling.</li> </ul> </li> <li>Demonstrated ability to run Agile or hybrid‑Agile delivery processes.</li> <li>Experience managing cross‑functional engineering teams and coordinating technical efforts.</li> <li>Ability to travel 25% of the time OCONUS</li> </ul> <p><strong>Preferred Qualifications</strong></p> <ul> <li>Experience supporting AI/ML platforms, MLOps workflows, or data‑intensive systems.</li> <li>Background with high‑speed networking (InfiniBand, data plane acceleration, or HPC fabrics).</li> </ul> <p><strong>Clearance</strong></p> <ul> <li>An active TS/SI is required</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p> </p> <p><span class="TextRun SCXW225111203 BCX8"…