Senior Solutions Architect AI Solutions

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 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 fast 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 that help scale the practice.

What We’re Looking ForRequired:

• 8–10 years of experience in solutions architecture, cloud engineering, or a related technical role, with significant hands-on AWS experience.
• Demonstrated experience designing and deploying AI/ML or generative AI solutions on AWS (e.g., Bedrock, SageMaker, or comparable services).
• Experience working within an AWS Partner or systems integrator environment — scoping engagements, supporting AWS co-sell motions, or working alongside AWS account teams.
• Strong working knowledge of the AWS Well-Architected Framework across security, reliability, cost, and operational excellence.
• Excellent communication skills, with experience presenting architecture and recommendations to both technical and business stakeholders.
• Ability to maintain significant overlap with US time zones to support collaboration with US-based partners and customers.
• Hands-on comfort with AI-assisted coding tools (e.g., Claude Code) to prototype quickly and translate ideas into demonstrable customer value.

Preferred:

• AWS certifications such as Solutions Architect – Professional, Machine Learning Specialty, or equivalent.
• Experience with infrastructure-as-code (Terraform, CloudFormation, or AWS CDK).
• Background in FinOps, managed services, or security within cloud environments.
• Prior experience in a pre-sales or other customer-facing technical role.