Project Manager (Cloud Infrastructure AI)

Locations

Bengaluru

Minimum Experience

8

Maximum Experience

10

Mandatory Skills

• 78+ years of experience in project management,with a proven track record of delivering large-scale technology projects • Hands-on experience managing Cloud Infrastructure projects (AWS,Azure,or GCP) including migrations,hybrid cloud setups,and infrastructure-as-Service initiatives • Demonstrated experience delivering AI/ML projects such as model development,MLOps pipelines,NLP solutions,computer vision,or generative AI implementations • Strong understanding of cloud-native architectures,microservices,containerization (Docker/Kubernetes),and CI/CD pipelines • Proficiency in project management tools (Jira,Confluence,MS Project,or equivalent) • Proficiency in Microsoft Excel and PowerPoint. • Excellent stakeholder management and communication skills across technical and non-technical audiences • Experience managing cross-functional,geographically distributed teams • Strong documentation skills • Excellent communication and presentation skills.

Skill to Evaluate

or government) • MBA or Master's degree in a relevant field, geographically distributed teams • Strong documentation skills • Excellent communication and presentation skills.

Experience

8 to 10 Years

Location

Bengaluru

Job Description

We are seeking an experienced and results-driven Project Manager to lead and deliver projects in Cloud Infrastructure and Artificial Intelligence. The ideal candidate will bring a strong blend of technical understanding, stakeholder management, and delivery excellence to drive transformational initiatives from inception to completion.

Education Qualificaiton

• PMP preferred • AWS Solutions Architect, Azure Fundamentals, or GCP Cloud Engineer certification • Experience with AI/ML platforms such as Amazon SageMaker, Azure ML, or Google Vertex AI • Familiarity with data engineering pipelines, data lakes, and big data technologies • Experience in regulated industries (finance, healthcare, or government) • MBA or Master's degree in a relevant field

Job Title

Project Manager (Cloud Infrastructure AI)

Roles & Responsibilities

Key Responsibilities

• Lead end-to-end project delivery for cloud infrastructure migrations, deployments, and AI/ML implementation projects
• Define project scope, objectives, timelines, and resource requirements in collaboration with cross-functional teams
• Develop and maintain detailed project plans, risk registers, and status reports
• Manage project budgets, forecast, and ensure delivery within approved financial parameters
• Coordinate with engineering, data science, DevOps, and architecture teams to ensure alignment on deliverables
• Drive Agile/Scrum ceremonies and hybrid project management methodologies as appropriate
• Identify, assess, and mitigate project risks and dependencies proactively
• Manage vendor relationships and third-party integrations related to cloud and AI platforms
• Communicate project status, escalations, and strategic updates to senior leadership and executive stakeholders
• Ensure compliance with security, governance, and regulatory standards across all project deliverables
• Champion continuous improvement in project delivery processes and tooling

Required Qualifications

• 7–8+ years of experience in project management, with a proven track record of delivering large-scale technology projects
• Hands-on experience managing Cloud Infrastructure projects (AWS, Azure, or GCP) including migrations, hybrid cloud setups, and infrastructure-as-Service initiatives
• Demonstrated experience delivering AI/ML projects such as model development, MLOps pipelines, NLP solutions, computer vision, or generative AI implementations
• Strong understanding of cloud-native architectures, microservices, containerization (Docker/Kubernetes), and CI/CD pipelines
• Proficiency in project management tools (Jira, Confluence, MS Project, or equivalent)
• Proficiency in Microsoft Excel and PowerPoint.
• Excellent stakeholder management and communication skills across technical and non-technical audiences
• Experience managing cross-functional, geographically distributed teams
• Strong documentation skills
• Excellent communication and presentation skills.

Preferred Qualifications

• PMP preferred
• AWS Solutions Architect, Azure Fundamentals, or GCP Cloud Engineer certification
• Experience with AI/ML platforms such as Amazon SageMaker, Azure ML, or Google Vertex AI
• Familiarity with data engineering pipelines, data lakes, and big data technologies
• Experience in regulated industries (finance, healthcare, or government)
• MBA or Master's degree in a relevant field

Project Details

• 7–8+ years of experience in project management, with a proven track record of delivering large-scale technology projects
• Hands-on experience managing Cloud Infrastructure projects (AWS, Azure, or GCP) including migrations, hybrid cloud setups, and infrastructure-as-Service initiatives
• Demonstrated experience delivering AI/ML projects such as model development, MLOps pipelines, NLP solutions, computer vision, or generative AI implementations
• Strong understanding of cloud-native architectures, microservices, containerization (Docker/Kubernetes), and CI/CD pipelines
• Proficiency in project management tools (Jira, Confluence, MS Project, or equivalent)
• Proficiency in Microsoft Excel and PowerPoint.
• Excellent stakeholder management and communication skills across technical and non-technical audiences
• Experience managing cross-functional, geographically distributed teams
• Strong documentation skills
• Excellent communication and presentation skills.