Senior GenAI Engagement Manager, AWS Generative AI Innovation Center

Senior GenAI Engagement Manager, AWS Generative AI Innovation Center

The Gen AI Innovation Center at Amazon Web Services (AWS) is a global team of experts dedicated to helping customers achieve their desired business outcomes by leveraging AWS Cloud and our Generative AI Services. We collaborate closely with customer teams and the AWS Partner Network (APN) to successfully execute enterprise cloud computing initiatives. Our team provides comprehensive assistance through a variety of offerings designed to help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which encompass a wide array of solutions, technologies, and industries.

Key job responsibilities

As an experienced technology program/project manager, your responsibilities will include:

• Managing complex Generative 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 mapping them to business outcomes.
• Decomposing complex technical problems into actionable, deliverable solutions.
• Contributing to technical documentation and defining 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.

Key skills/competency

• Generative AI
• Project Management
• Program Management
• AI/ML
• AWS Cloud Services
• Technical Architecture
• Business Alignment
• Agile Methodologies
• Strategic Planning
• Technical Documentation