Technical Account Manager - AI/ML

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 Technical Account Manager (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, 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.

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
• Lead technical discussions around AWS AI services including Bedrock, Claude, and Amazon Q.
• Make recommendations on AI architecture, security, cost optimization, and operational excellence
• Work with AWS AI/ML service teams to advocate for customer needs
• Participate in customer requested meetings (onsite or via phone)
• Work directly with AWS engineers to ensure rapid resolution of AI-related issues

Basic qualifications

• Understanding of Generative AI fundamentals, Large Language Models, and core AI/ML concepts
• Excellent theoretical foundation in AI technologies and their underlying principles
• Excellent empirical reasoning skills with ability to formulate theories, make predictions, validate and refine solutions

Preferred qualifications

• Master's degree in Computer Science, Artificial Intelligence, Machine Learning or related technical 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

1. Recruiter screening
2. Manager resume review
3. Online assessment + technical interview
4. Final interview