Technical Project Lead / Manager

About this role

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.

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.

Join us to drive positive, lasting change that moves missions and the government forward!

Overview

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.

Responsibilities

• Lead the design, deployment, and optimization of cloud and on‑prem compute environments supporting AI/ML, MLOps, and HPC workloads.

• Oversee GPU‑enabled compute clusters, HPC networking, and performance tuning.

• Direct the implementation and maintenance of CI/CD pipelines supporting model training, model deployment, and data‑intensive workflows.

• Guide engineers on containerization, orchestration, system architecture, and infrastructure modernization.

• Ensure systems comply with security, accessibility, and governance requirements (e.g., DevSecOps practices, hardened cloud/on‑prem environments).

• Own end‑to‑end delivery for infrastructure and engineering initiatives, including scope, schedule, risks, and dependencies.

• Develop and maintain project roadmaps, resource plans, and technical execution milestones.

• Drive a modified Agile delivery process tailored to the team’s engineering workflows, ensuring consistent cadence and continuous improvement.

• Coordinate cross‑functional contributors including cloud engineers, systems engineers, platform engineers, data engineers, and security professionals.

• Monitor project health metrics and proactively escalate obstacles. Facilitate technical reviews, sprint planning, backlog refinement, and stakeholder briefings.

• Work directly with leadership, engineering teams, and mission/program stakeholders to align technical priorities and delivery timelines.

• Translate complex technical requirements into clear work packages and implementation strategies.

• Maintain strong relationships across internal teams and external partners supporting cloud, network, and AI/ML projects.

• Oversee operational readiness, system reliability, and performance of hybrid compute environments.

• Guide teams in implementing best practices for monitoring, logging, fault tolerance, and capacity management.

• Partner with security teams to ensure compliance, secure configuration, and continuous risk management.

• Support troubleshooting of complex infrastructure, networking, or performance issues across GPU and HPC platforms.

Qualifications

• 5 years of experience with any of the following knowledge:

• Experience leading hybrid cloud and on‑premises infrastructure projects (AWS or private cloud).

• Strong background in systems engineering, cloud engineering, or HPC engineering.

• Hands‑on familiarity with GPU‑accelerated compute, containerized workloads, Kubernetes, and cluster‑based architectures.

• Working knowledge of CI/CD pipelines and DevSecOps tooling.

• Demonstrated ability to run Agile or hybrid‑Agile delivery processes.

• Experience managing cross‑functional engineering teams and coordinating technical efforts.

• Ability to travel 25% of the time OCONUS

Preferred Qualifications

• Experience supporting AI/ML platforms, MLOps workflows, or data‑intensive systems.

• Background with high‑speed networking (InfiniBand, data plane acceleration, or HPC fabrics).

Clearance

• An active TS/SI is required