Senior Deep Learning Architect, Agentic AI Professional Services

Amazon • Austin, TX

2d

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.

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.

Nice To Haves

• 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