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.
- Excellent communication skills with the ability to brief stakeholders and synthesize complex technical information.
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
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of
California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is:
$133,400-$165,100 USD
