Senior Engagement Manager, Generative AI Innovation Center

Amazon Web Services's Gen AI Innovation Center (in our Professional Services) team is seeking a highly skilled and versatile Gen AI Engagement Manager (EM) to join our team and steer the delivery of complex Gen AI solution projects.
In this role you will combine technical expertise with strong program/project management skills to drive successful implementations of AWS Gen AI solutions for our clients. You will bridge business requirements with technical solutions, facilitating technical discussions and ensuring alignment with customer outcomes. Applying AWS frameworks like Well-Architected and Cloud Adoption Framework- AI/ML while demonstrating technical credibility across diverse stakeholders, you will distill customer needs into clear technical requirements, decompose complex problems, and make informed trade-off decisions considering performance, scalability, security, and business impact.
You will validate technical solutions against business goals, recognize when additional technical evaluation is needed, and manage technical risks. You will be expected to achieve and maintain relevant AWS certifications, develop domain-specific expertise, and effectively communicate technical concepts to both technical and business audiences. As you progress, you'll guide increasingly complex Gen AI technical projects, shape cross-organizational technical AI strategies, and establish best practices in Gen AI project delivery. In this role you will apply your management capabilities to successfully execute project plans, proactively identify and manage risks, resolve issues, escalate when appropriate, and drive projects to successful completion, while exceeding customer expectation.
The Gen AI Innovation Center is an organization is a global team of experts that help customers realize their desired business outcomes leveraging AWS Cloud and our Gen AI Services. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

Key job responsibilities
. Managing complex Gen AI implementation Projects and Programs
. Leveraging comprehensive knowledge of AI/ML and AWS services, architectures, and best practices to guide technical decisions and strategic planning
. Bridging business requirements with technical solutions, facilitating engineering discussions and ensuring alignment with customer business outcomes
. Distilling customer needs into clear technical requirements and map them to business outcomes
. Decomposing complex technical problems into actionable, deliverable solutions
. Contributing to technical documentation and define documentation standards

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

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 in the cloud.

Basic qualifications

. +5 years experience in AI/ML and cloud computing.

. Experience in AI/ML project management and delivery of technical programs

. 5+ years experience leveraging project management and agile methodologies on enterprise level engagements

. Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience

Preferred qualifications

. AWS experience in delivering Gen AI solutions into production

. Masters or MBA or advanced degree

. Has at least one active project management certification (e.g., APM, CSM, PMI-ACP, PRINCE2) and/or AWS Certified Solutions Architect - Associate

. AWS Certified AI Practitioner or AWS Certified AI/ML Specialty Exam

. Strong understanding of AWS services, architectures, and best practices

. Experience applying AWS frameworks like Well-Architected and Cloud Adoption Framework-AI/ML

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