Technical Project Manager – Enterprise AI Platform

Role Summary

Stellar Technologies is seeking an experienced Technical Project Manager (TPM) to lead the delivery of an Enterprise AI Platform that spans Azure Cloud, on-premises data centers, and edge environments.

This is a hands-on, delivery-focused leadership role requiring strong technical fluency in cloud platforms (especially Microsoft Azure), AI/ML workloads, and proven expertise in managing cross-functional engineering teams (Infrastructure, DevSecOps, and MLOps).

Key Responsibilities

• Lead planning and execution of large-scale AI infrastructure and platform initiatives across Azure and hybrid environments.
• Translate business and architecture goals into actionable project plans with measurable milestones and KPIs.
• Manage dependencies across infrastructure, MLOps, and DevSecOps streams.
• Oversee Agile delivery using Azure DevOps Boards or Jira (sprints, backlogs, release schedules).
• Ensure secure and efficient delivery of GPU-accelerated compute and storage workloads.
• Collaborate with architecture and engineering teams to align design, provisioning, and governance standards.
• Implement and track compliance with Azure Policy, Azure Arc, and Key Vault integrations.
• Review and validate infrastructure readiness for GPU and high-performance computing workloads.
• Maintain project governance, budgets, and progress reports using Azure Cost Management and dashboarding tools.
• Serve as the bridge between technical teams, business leadership, and vendors to ensure seamless execution.
• Coordinate licensing, resourcing, and procurement with internal finance and operations teams.
• Promote Agile and DevOps best practices, while mentoring project coordinators and engineers.
• Lead post-project retrospectives and implement process improvements for future releases.

Required Knowledge & Skills

• Strong understanding of Microsoft Azure architecture and services including Azure Machine Learning, Azure Arc, Azure Policy, and Azure Monitor.
• Experience with hybrid connectivity (VPN, ExpressRoute, private endpoints).
• Broad knowledge of AI/ML, MLOps, and DevOps delivery models.
• Familiarity with CI/CD, IaC (Terraform, Bicep), and cloud security governance.
• Hands-on exposure to GPU-based or HPC workloads.
• Deep understanding of project governance, Agile methodologies, and stakeholder communication.
• Skilled in project tools like Azure DevOps Boards, Jira, Confluence, or Smartsheet.

Experience & Certifications

• 8–12 years of experience in technical project or program management, preferably in AI/ML or cloud transformation.
• Proven success in managing cross-functional engineering projects across infrastructure, data, and platform domains.
• Preferred Certifications:
  • PMP / PMI-ACP
  • Azure Administrator / Azure Fundamentals
  • SAFe Agilist

Success Metrics (First 12 Months)

• Successful rollout of the Enterprise AI Platform across Azure and hybrid infrastructure.
• 100% of AI/ML model deployments automated via CI/CD.
• Improved deployment velocity and >99% platform availability.
• Full compliance with cost governance and resource optimization.
• Executive dashboards implemented for KPIs and risk tracking.

Technical Screening Rubric

Candidates may be assessed on the following: