Amazon Web Services
Solutions Architect, Solution Architect, Cloud Computing
SeniorAISolutionArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI Solution Architect at Amazon Web Services. Skills: AI Solution Architecture, GenAI, ML, Agentic technologies. Build technical relationships with customers. Advise customers on security, cost, performance, reliability and”
Industry & Context.
Complex challenges
What They're Looking For.
Must Have
7+ year design/implementation/consulting experience of distributed applications, 5+ years customer facing experience in design/implementation of production AI systems, Experience implementing AI solutions, Hands-on experience with AWS ecosystems, Practical experience implementing Retrieval-Augmented Generation, Able to effectively communicate across audiences, Ability to influence customer and internal business decision makers
Nice to Have
Technical Cloud Certification, Proven ability to lead projects, Ability to lead a team or initiative, Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or PhD, Experience in running & fine-tuning Large and Small Language Models, Expertise in architecting AI systems within highly regulated or security-sensitive environments
What You'll Do.
Build technical relationships with customers
Advise customers on security
Accelerate customer GenAI/ML and Agentic projects
Share customer needs impacting AWS roadmap
Define cloud-native GenAI/ML and Agentic architectural patterns
Create and share best practices
Produce technical content
Produce new reference architectures
Evangelize running GenAI/ML and Agentic workloads on AWS
Educate about running GenAI/ML and Agentic workloads on
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 advisory; Internal advocacy
Communication Scope
Customer communication; Internal communication; Public speaking
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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