Technical Project Manager – Enterprise AI Platform

Stellar Technologies; Abu Dhabi; On-site; AED 250,000 - 350,000; Full time

Job summary

A leading tech company in Abu Dhabi is looking for a Technical Project Manager to oversee the delivery of an Enterprise AI Platform. Candidates should have strong expertise in Azure and AI/ML workloads, as well as experience managing cross-functional engineering teams. This hands-on role will involve ensuring effective project governance and implementing best practices in Agile methodology.

Qualifications

• 8–12 years of experience in technical project or program management, preferably in AI/ML or cloud transformation.
• Strong understanding of Microsoft Azure architecture including Azure Machine Learning.
• Proven success in managing cross-functional engineering projects.

Responsibilities

• Lead planning and execution of AI platform initiatives across Azure and hybrid environments.
• Translate business and architecture goals into actionable project plans.
• Ensure secure delivery of GPU-accelerated compute workloads.

Skills

Microsoft Azure architecture and services

AI/ML and DevOps delivery models

Project governance and Agile methodologies

CI/CD and cloud security governance

Communication skills

Education

Bachelor's degree in a relevant field

Tools

Azure DevOps Boards

Jira

Confluence

Job description

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.