About the Role

Twelve months into this role, you'll have designed and delivered multiple AI-enabled AWS architectures for our customers . From generative AI applications built on Amazon Bedrock to well-architected data and ML platforms while becoming a trusted technical voice in our AWS partnership, helping scope and win recent engagements.

Who You Are
Driven and self-directed. You don't wait to be told what's next, and you push engagements forward without hand-holding.
Genuinely passionate about bringing recent technologies to customers, but you never lose sight of the business value and ROI those technologies need to deliver.
Comfortable working rapid and iteratively, using AI-assisted "vibe coding" tools such as Claude Code to stand up quick proofs of value that get customers to a business case faster.

What You'll Do
Own end-to-end solution architecture for customer engagements involving AI/ML and generative AI workloads on AWS, from discovery through delivery.
Design and review AWS Well-Architected solutions spanning compute, data, security, and AI/ML services,



including Amazon Bedrock, SageMaker, and related managed AI services.
Partner directly with AWS account teams and specialist Solutions Architects to scope opportunities, run technical validations, and support proposals and SOWs as an AWS partner.
Lead technical discovery workshops and architecture reviews with customer stakeholders, translating business goals into concrete AWS designs.
Use AI-assisted development ("vibe coding") tools like Claude Code to rapidly build proofs of value and working prototypes that demonstrate business impact to customers early in the sales cycle.
Mentor solutions engineers and delivery teams on AI architecture patterns, cost optimization, and AWS best practices.
Track the evolving AWS AI/ML and generative AI service landscape and evaluate new services for customer applicability.
Contribute to reusable reference architectures, accelerators, and playbooks tha

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