Technical Project Manager – Enterprise AI Platform

About the Opportunity

My client is seeking a Technical Project Manager (TPM) to oversee the delivery of an Enterprise AI Platform that extends across Azure Cloud, on-premises data centers, and edge environments. This role entails managing cross-functional engineering programs related to infrastructure, DevSecOps, and MLOps teams to ensure efficient deployment, governance, and optimization of AI/ML workloads in hybrid environments. The position requires strong technical proficiency in cloud platforms, particularly Microsoft Azure, along with robust program management skills.

Responsibilities

• Lead planning and execution of large-scale AI infrastructure and platform initiatives across Azure and on-prem environments.
• Translate business and architecture goals into actionable project plans with measurable milestones and success criteria.
• Manage dependencies between infrastructure, MLOps, and DevSecOps workstreams.
• Oversee sprint planning, backlog prioritization, and release schedules using Azure DevOps Boards or Jira.
• Drive delivery of hybrid workloads — spanning compute, storage, and GPU-accelerated clusters — while ensuring performance, security, and compliance.
• Maintain unified visibility of project health, risks, and budget across all streams.
• Collaborate with engineering leads to track design and delivery of cloud resource provisioning and hybrid connectivity.
• Coordinate integration with Azure services such as Azure Arc, Azure Policy, Azure Monitor, and Key Vault.
• Validate infrastructure readiness for GPU and high-performance computing workloads.
• Review architecture documentation and ensure consistency across cloud and on-prem environments.
• Define KPIs and OKRs for platform delivery — uptime, deployment velocity, cost efficiency, and governance adherence.
• Ensure compliance with Azure governance frameworks (e.g., policies, role-based access control, and tagging).
• Manage platform budgets and reporting using Azure Cost Management and other observability tools.
• Serve as the bridge between technical teams, business leadership, and external vendors.
• Communicate technical status, priorities, and risks in clear, outcome-focused terms.
• Manage relationships with cloud providers, GPU vendors, and implementation partners.
• Coordinate budgeting, licensing, and resource forecasting with operations and finance teams.
• Promote Agile and DevOps practices across engineering teams.
• Drive post-project reviews and implement lessons learned into future platform releases.
• Mentor technical project coordinators and engineers on structured delivery methodologies.

About You

Required Knowledge & Skills:

• Strong understanding of Microsoft Azure architecture and services, including Azure Machine Learning, Azure DevOps, Azure Arc, Azure Policy, Azure Monitor, and Key Vault.
• Experience managing hybrid connectivity (VPN, ExpressRoute, private endpoints).
• Broad knowledge of cloud computing, hybrid architectures, and on-prem data center integration.
• Familiarity with MLOps/DevOps practices — CI/CD pipelines, infrastructure as code, and automated testing.
• Exposure to GPU-based or high-performance computing (HPC) environments.
• Ability to interpret architectural documentation and convert strategy into delivery roadmaps.
• Strong background in project governance, stakeholder communication, and risk management.
• Proficiency in Agile/Scrum project tools such as Azure DevOps Boards, Jira, or equivalent.

Experience & Background:

• 8–12 years of experience in technology project or program management, with exposure to AI/ML platform delivery.
• Proven success managing hybrid or cloud-native projects, ideally leveraging Microsoft Azure.
• Experience leading cross-functional engineering teams across infrastructure, data, and platform domains.
• Knowledge of CI/CD, automation, and DevSecOps governance in enterprise environments.
• Certifications preferred: PMP, PMI-ACP, Azure Fundamentals / Azure Administrator, or SAFe Agilist.