Amazon

DESCRIPTION

Would you like to join one of the fastest-growing teams within Amazon Web Services (AWS) and shape the future of human-AI collaboration? Join us in helping customers across all industries to maximize the value and benefits of AWS Generative AI services while pioneering innovative AI agent solutions that transform how we work.

As a Senior Technical Account Manager (Sr. TAM) specializing in Generative AI in AWS Enterprise Support, you will play a crucial role in two transformative missions: guiding customers' AI initiatives across AWS's comprehensive AI/ML portfolio, and spearheading the development of collaborative AI agents that revolutionize TAM operations. This is not a sales role, but rather a unique opportunity to serve as both an AI transformation advisor and innovation leader, working with organizations ranging from start-ups to Fortune 500 enterprises.

Within the Enterprise Support team, Sr. TAMs focusing on Generative AI contribute significantly to ensuring the success of key enterprise customers in their AI journey while also driving internal innovation. As a strategic expert, you'll architect AI solutions, guide technology adoption, and pioneer new ways for humans and AI to work together. This support extends from strategic planning to implementation guidance, while simultaneously developing internal AI agent solutions that showcase the art of possible in human-AI collaboration.

Key job responsibilities

Every day will bring new and exciting challenges on the job while you:

• Act as a strategic advisor for customers' Generative AI initiatives and internal AI agent innovation
• Drive the development and implementation of collaborative AI agents within the TAM organization
• Lead technical discussions around AWS AI services including Bedrock, Claude, and Amazon Q.
• Make recommendations on AI architecture, security, cost optimization, and operational excellence
• Champion internal AI agent success stories to inspire customer innovation
• Complete analysis and present periodic reviews of AI workload performance
• Guide customers in developing responsible AI practices while ensuring security and compliance
• Foster an ecosystem where AI and humans progress together through knowledge sharing
• Work with AWS AI/ML service teams to advocate for customer needs
• Participate in customer requested meetings (onsite or via phone)
• Work directly with Amazon Web Service engineers to ensure rapid resolution of AI-related issues
• Available in non-business hours to handle urgent issues

About the team

AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

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.

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.

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 in the cloud.

BASIC QUALIFICATIONS

• Master's degree in Computer Science, Artificial Intelligence, Machine Learning or related technical field
• Deep understanding of Generative AI fundamentals, Large Language Models, and core AI/ML concepts
• Strong theoretical foundation in AI technologies and their underlying principles
• Strong empirical reasoning skills with ability to formulate theories, make predictions, validate and refine solutions

PREFERRED QUALIFICATIONS

• PhD in Computer Science, Artificial Intelligence, Machine Learning or related field
• Demonstrated ability to build systematic knowledge frameworks across technology stacks
• Experience with implementing enterprise-scale AI/ML solutions
• Experience with AWS core services across Compute, Storage, Database, and Networking
• Knowledge of cloud architecture patterns and distributed systems, cloud security principles and compliance frameworks
• Experience with container technologies and serverless architectures, modern software development practices and DevOps
• Excellence in stakeholder management and technical communication

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.