Sr. Engagement Manager, AWS Professional Services India

AI in this role

Lead complex multi-workstream cloud transformation programs while leveraging AI and generative AI to drive delivery innovation.

aws

program-managementcloud-transformationit-consultingrisk-management

We are looking for a Senior Engagement Manager to lead and deliver complex, multi-work stream cloud transformation programs for AWS Professional Services (ProServe) APJC (ANZ, ASEAN, INDIA, Korea, Japan). In this role, you will own the end-to-end delivery lifecycle of large and complex customer engagements, shaping cloud strategies, driving business outcomes, and acting as a trusted advisor to senior customer stakeholders.
The ideal candidate is an experienced program leader with deep IT consulting expertise, a proven track record in delivering complex technical programs across enterprise customers, and the ability to navigate ambiguity with limited guidance. You thrive in a fast-paced, growth environment, insist on incredibly high standards, and are passionate about mentoring others and scaling delivery best practices across teams.
You will lead matrixed teams of AWS consultants, partners, and customer resources across multiple work-streams simultaneously. You are expected to drive delivery excellence, maximize engagement value, manage risks proactively, and serve as a force multiplier for your peers and the broader organization. You will actively contribute to per-sales, build deep customer trust, and leverage AI/Gen AI to drive delivery innovation.
In this capacity you will be based in India and are expected to travel occasionally (30-40%) to customer sites in APJC. You will report into the India ProServe Engagement Management Delivery Practice Manager.

Key job responsibilities
• Own and lead end-to-end delivery of complex, multi-workstream cloud transformation programs, ensuring business outcomes are achieved within schedule, scope, and financial constraints.
• Shape and validate cloud delivery strategies for complex engagements, applying frameworks such as the Cloud Adoption Framework (CAF), Well-Architected Framework (WAF), and Engagement Delivery Framework (EDF).
• Serve as a strategic advisor to senior customer stakeholders, leading steering committees, driving alignment, and building deep trusted relationships.
• Proactively identify, manage, and escalate risks and issues; develop and execute mitigation plans; redirect distressed programs to delight customers.
• Maximize engagement value by negotiating conditions of acceptance, managing scope changes, and amending contractual terms within project constraints.
• Drive delivery excellence across engagements by defining and sharing EM best practices, creating reusable mechanisms, and establishing operational excellence.
• Actively mentor and develop team members; perform Technical Promotion Assessments (TPAs) and coach Engagement Managers to raise the bar.
• Participate in pre-sales activities, contributing to proposals, scoping, and business development for complex services engagements.
• Leverage Agentic AI and GenAI to optimize delivery processes, improve team productivity, and drive innovative customer outcomes.
• Collaborate with cross-functional AWS teams including Delivery Consultants, Account Executives, Cloud Architects, and Partner teams to solution and deliver cloud programs.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Basic qualifications

- 7+ years of leading multiple Agile teams (like Scrum Masters, Product Owners) concurrently or at scale experience
- 7+ years of leading and delivering enterprise-level IT engagements experience
- Knowledge of the value proposition of the public cloud and cloud engagement delivery (IaaS, PaaS, SaaS)
- Experience with Agile and project management toolsets like Jira, Rally, VersionOne or Taiga
- Bachelor's degree or equivalent, or 7+ years of project/program management experience

Preferred qualifications

- Experience working with and presenting to C-level executives, IT, and lines of businesses across organizations or equivalent
- PMP, Prince2, PgMP, SAFe or SCRUM/Agile certification
- 9+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification
- Partner delivery experience — enabling and managing delivery through third-party partners

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Sr. Engagement Manager, AWS Professional Services India at Amazon rates 40 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Sr. Engagement Manager, AWS Professional Services India is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in IN, KA, Bengaluru.
The job was posted on October 5, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Program ManagementCloud TransformationIt ConsultingRisk ManagementAWS

Questions you could be asked

Tell me about a project where program management was part of your work. What did you do?
Tell me about a project where cloud transformation was part of your work. What did you do?
Tell me about a project where it consulting was part of your work. What did you do?
Tell me about a project where risk management was part of your work. What did you do?
Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Program Management, Cloud Transformation, It Consulting, Risk Management, and AWS. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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