Project Manager (Cloud Infrastructure AI)

Job description

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.