Generative AI Solutions Architect, AWS Global Government Specialist SA

Amazon • Herndon, VA

3d • Onsite

About The Position

Amazon Web Services (AWS) is seeking a Generative AI Learning Solutions Architect to support our Global Government customers. This role involves helping government customers leverage generative AI in their missions, learning from diverse enterprise use cases of AWS ML and generative AI, and being a key part of Amazon's long-standing investment in Machine Learning and AI technology. AWS is helping the federal government build and use AI on the AWS Cloud, applying AI to large volumes of data and a wide spectrum of problems. Generative AI is rapidly growing in importance, with applications ranging from back-office tasks to complex agentic workflows. The cloud is ideal for deploying AI models due to the scale required for development, and AWS is a leader in this space. The ideal candidate is passionate and deeply excited about generative AI and its potential to make a significant difference in government missions.

Requirements

• 8+ years of IT development or implementation/consulting in the software or Internet industries experience
• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 4+ years of design, implementation, or consulting in applications and infrastructures experience
• 2+ years experience in the field of AI, Machine Learning, Deep Learning, NLP and related technologies.
• 2+ years experience developing AI models in real-world environments and integrating AI/ML and other AWS services into large-scale production applications.
• Deep technical experience working with technologies related to artificial intelligence, machine learning, deep learning, or generative AI.
• Familiarity with the ecosystem of software vendors in the AI space.
• Ability to operate in Python data science environments.
• Great communication skills and very technical, with the ability to impress AWS customers at any level, from executive to developer.

Nice To Haves

• Previous experience with AWS is desired but not required, provided you have experience building large scale solutions.
• A strong statistics, mathematics, computer science, or technology background is preferred.
• Experience helping customers architect enterprise grade AI solutions.
• Ability to leverage knowledge to help AWS customers in their software selection process.
• 5+ years of infrastructure architecture, database architecture and networking experience
• Experience working with end user or developer communities
• Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
• Experience with Amazon SageMaker AI, Amazon Bedrock and Amazon Kiro
• Experience demonstrating the ability to architect and deliver AI/ML and GenAI solutions using AWS's full stack of AI/ML services

Responsibilities

• Design generative AI solutions that leverage AWS services to automate solutions and drive down costs for customers.
• Work closely with other Specialist SAs to enable large-scale customer use cases and drive the adoption of AWS for AI platforms.
• Provide guidance to field SAs on their customer engagements.
• Develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage AI on AWS.
• Create field enablement materials for the broader SA population to help them understand how to integrate AWS AI solutions into customer architectures.
• Work directly with senior engineers at customers, partners, and AWS service teams, influencing their roadmaps and driving innovation.

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
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

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