Amazon Web Services
Solutions Architect, Solution Architect, Cloud Computing
SrAISolutionArchitect,Data&AISpecialistSolutionsArchitectteam
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“Sr AI Solution Architect, Data & AI Specialist Solutions Architect team at Amazon Web Services. Skills: AI Solution Architecture, GenAI, ML, Agentic technologies. Build technical relationships with customers. Operate as trusted advisor”
Industry & Context.
Complex challenges
What They're Looking For.
Must Have
5+ years specific technology domain areas, 7+ years design, implementation, or consulting, Hands-on AWS ecosystems experience, Practical experience implementing Retrieval-Augmented Generation, 6+ years design/implementation of production AI systems, 5+ years management of technical, customer facing resources
Nice to Have
Ability to lead a team, Proven ability to lead projects, Technical Cloud Certification, Master's degree in quantitative field, PhD in quantitative field, Experience running & fine-tuning Large and Small Language Models, Expertise in architecting AI systems in regulated environments
What You'll Do.
Build technical relationships with customers
Operate as trusted advisor
Ensure customers get most out of cloud
Adopt GenAI/ML and Agentic technologies
Manage technical relationship between AWS and customers
Make recommendations on security
Make recommendations on cost
Make recommendations on performance
Make recommendations on reliability
Make recommendations on operational efficiency
Accelerate challenging GenAI/ML and Agentic projects
Share customer needs with AWS
Advocate for roadmap enhancements
Anticipate customer requirements
Link technology to tangible solutions
Define cloud-native GenAI/ML architectural patterns
Define Agentic architectural patterns
Participate in creation of best practices
Participate in creation of technical content
Participate in creation of new reference architectures
Evangelize running GenAI/ML workloads on AWS
Evangelize running Agentic workloads on AWS
Educate about running GenAI/ML workloads on AWS
Educate about running Agentic workloads on AWS
Lead hands-on deep dives
Lead technical workshops
Contribute reusable code
Contribute reference architectures
Contribute internal technical assets
How You'll Work.
Team & Collaboration
Customer feedback; Broader engineering organization
Communication Scope
Customer communication; Internal communication; Public speaking
Process & Methodology
Roadmap enhancements
Full Job Description
Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a hands-on AI Specialist Solution Architect (SSA). AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or design an entirely new cloud-based system. Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field. This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments. Key job responsibilities • The AI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation. • You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects. • Internally, you will be the voice of the customer, sharing their needs with regard to their usage of our services impacting the roadmap of AWS GenAI/ML and Agentic features. • In this role, your creativity will link technology to tangible solutions, with the opportunity to define cloud-native GenAI/ML and Agenti
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