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Senior GenAI Engagement Manager, AWS Generative AI Innovation Center
Senior GenAI Engagement Manager, AWS Generative AI Innovation CenterAmazon • San Francisco, CA, United States
Senior GenAI Engagement Manager, AWS Generative AI Innovation Center

Senior GenAI Engagement Manager, AWS Generative AI Innovation Center

Amazon • San Francisco, CA, United States
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  • [job_card.full_time]
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Senior GenAI Engagement Manager, AWS Generative AI Innovation Center

Job ID : 3090926 | AWS EMEA SARL (UK Branch)

The Gen AI Innovation Center 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 preferred qualifications and skills listed in the job below, 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 (gender 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, AWS Certified AI Practitioner or AWS Certified AI / ML Specialty Exam
  • 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
  • Strong understanding of AWS services, architectures, and best practices
  • Experience applying AWS frameworks like Well‑Architected and Cloud Adoption Framework‑AI / ML
  • Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https : / / www.amazon.jobs / en / privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

    Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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.

    Posted : November 19, 2025 (Updated 6 days ago)

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