Project Manager (Cloud Infrastructure AI)

Project Manager (Cloud Infrastructure AI)

Experience Range: 8–10 years

Mandatory Skills

• 7–8+ years in Project Management with large-scale technology delivery
  

• Hands-on with Cloud Infrastructure projects (AWS, Azure, GCP) – migrations, hybrid setups, IaaS
  

• Proven delivery of AI/ML projects (MLOps pipelines, NLP, computer vision, generative AI)
  

• Strong knowledge of cloud-native architectures, microservices, containerization (Docker/Kubernetes), CI/CD pipelines
  

• Tools: Jira, Confluence, MS Project, Excel, PowerPoint
  

• Excellent stakeholder management across technical/non-technical audiences
  

• Experience managing cross-functional, geographically distributed teams
  

• Strong documentation, communication, and presentation skills
  

Preferred Qualifications

• PMP certification (preferred)
  

• Cloud certifications: AWS Solutions Architect, Azure Fundamentals, GCP Cloud Engineer
  

• Familiarity with AI/ML platforms (SageMaker, Azure ML, Vertex AI)
  

• Knowledge of data engineering pipelines, data lakes, big data technologies
  

• Experience in regulated industries (finance, healthcare, government)
  

• MBA or Master’s degree in relevant field
  

Key Responsibilities

• Lead end-to-end delivery of cloud infrastructure migrations & AI/ML implementations
  

• Define scope, objectives, timelines, resources
  

• Develop project plans, risk registers, status reports
  

• Manage budgets, forecasts, and ensure delivery within financial parameters
  

• Coordinate with engineering, data science, DevOps, and architecture teams
  

• Drive Agile/Scrum ceremonies and hybrid methodologies
  

• Ensure compliance with security, governance, and regulatory standards
  

• Manage vendor relationships and third-party integrations
  

• Communicate updates/escalations to senior leadership