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 new 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 new 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