Senior Deep Learning Architect, Agentic AI Professional Services

Amazon • Dallas, TX

14h

About The Position

The Amazon Web Services Agentic AI Professional Services Experience team is seeking a skilled deep learning architect. In this role, you'll design and build ProServe AI agents that automate and accelerate consulting services delivery for all customer workloads, work closely with ProServe 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 ProServe 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 ProServe 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. About the team Agentic AI ProServe Experience (APEX) is an AI-first organization within AWS Professional Services (ProServe), providing ProServe agents for customer engagements and accelerating go-live to under 45 days. 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. 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 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.

Requirements

• 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., TensorFlow, PyTorch).
• 3+ years developing AI/ML including agentic AI applications, with a proven track record of building and deploying on cloud.
• degree in advanced technology, or AWS Professional level certification
• Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
• Knowledge of security and compliance standards including HIPAA and GDPR
• Experience in performance optimization and cost management for cloud environments
• Experience communicating technical concepts to diverse audiences in pre-sales environments

Responsibilities

• 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 ProServe builders and trusted advisor to customers on how to use ProServe 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.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed