Senior Deep Learning Architect, Agentic AI Professional Services

Description

The Amazon Web Services Agentic AI Pro​fessional Services Experience team is seeking a skilled deep learning architect. In this role, you'll design and build Pro Serve AI agents that automate and accelerate consulting services delivery for all customer workloads, work closely with Pro Serve agents on customer engagements to accelerate solutions that meet customer's technical requirements and business objectives. You'll be a key player in driving customer success through Pro Serve agents, providing technical expertise and best practices.

You will lead or contribute to internal agent build work streams and customer-focused project teams as a technical leader, and work with Pro Serve agents to perform hands-on development of technical solutions with exceptional quality. Possessing a deep understanding of AWS products and services, you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective strategies and solutions.

As trusted advisors to our customers and partners, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for building new agents and rolling them out to builders internally and customers and partners. Leading or advising the delivery teams or customer builders, ensuring adherence to best practices, optimizing performance and minimizing risks.

• Hands-on design and build AI agents that support high-performance, reliable, scalable, and secure workloads.
• Collaborating with cross-functional teams to test and evaluate agent capabilities and roll out to internal and external users
• Serving as a catalyst to enable Pro Serve builders and trusted advisor to customers on how to use Pro Serve agents to accelerate solution delivery
• Sharing knowledge and best practices through mentoring, training, publication, presentation, and creating reusable artifacts.
• Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.

Agentic AI Pro Serve Experience (APEX) is an AI-first organization within AWS Professional Services (Pro Serve), providing Pro Serve agents for customer engagements and accelerating go-live to under 45 days.

AWS values diverse experiences. If you do not meet all of the preferred qualifications and skills listed, 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.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continuous innovation—customers from startups to Global 500 rely on our products and services to power their businesses.

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people. Our inclusion events foster stronger, more collaborative teams. Our ongoing innovation is fueled by bold ideas and diverse perspectives.

We’re continually raising our performance bar as we strive to become Earth’s Best Employer. You’ll find knowledge-sharing, mentorship, and career-advancing resources to help you develop.

We value work-life harmony and strive for flexibility within our working culture. When supported at work and home, there’s nothing we can’t achieve.

• 7+ years of consulting, design and implementation of serverless distributed solutions experience
• 5+ years of software development with object oriented language experience
• 7+ years of external or internal customer facing, complex and large scale project management experience
• 5+ years of cloud architecture and solution implementation experience
• 5+ years developing with Python, Typescript, SQL, and at least one additional programming language (e.g., Java, Scala, JavaScript). Proficient with leading ML libraries and frameworks (e.g., Tensor Flow,…