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:

1. Roadmap Design: Develop a roadmap for hybrid AI platform rollout leveraging Azure and on-prem compute.

2. Dependency Mapping: Identify interdependencies between cloud, data, and AI workstreams.

3. Risk Assessment: Evaluate technical risks and define mitigation plans.

4. Azure Governance Scenario: Design a governance model including RBAC, tagging, and policy compliance.

5. Executive Reporting: Create a concise project update summarizing risks, health, and next steps.