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The Customer Solutions Architect will lead architecture sessions, propose solutions, author proposals, and engage with customers to promote AWS services.

The Customer Solutions Architect will lead architecture sessions, author proposals, and educate customers about AWS services - balancing technical advice with customer needs.

Lead architecture design sessions with customers, propose AWS solutions, author proposals, and educate customers on AWS best practices.

Own full client accounts end-to-end: discovery, architecture, scoping, delivery, and close. Design and implement production-grade AI/LLM solutions or workforce AI adoption programs, manage scope and risks, deliver documented, maintainable software/automations, and contribute reusable patterns and IP back to the practice.

Design and implement enterprise contact center transformations using Amazon Connect, generative AI (Bedrock/Claude), serverless backends, and full-stack React tooling. Build contact flows, AI agents, CDK infrastructure, observability, CI/CD and migration solutions; collaborate with customers, mentor engineers, and ensure production reliability, security, and accessibility.

Build and operate enterprise Amazon Connect contact centers and AI agents. Implement generative AI (Bedrock/Claude), serverless backends, CDK IaC, observability, testing, and integrations with CRMs and analytics. Own delivery from code to production, mentor engineers, and support customer-facing technical workstreams.

Build and ship enterprise Amazon Connect contact center transformations combining generative AI agents, serverless backends, CDK IaC, React agent tooling, observability, and migrations. Lead implementation quality, debug production issues, and collaborate with customer engineering and practice teams.

Design, build, and operate enterprise Amazon Connect contact center solutions combining conversational generative AI, serverless backends, and full‑stack React tooling. Implement AI agents, contact flows, observability, IaC (CDK/Terraform), analytics lakes, migrations from legacy platforms, and support production cutovers while collaborating with customers and mentoring junior engineers.

Lead hands-on enterprise contact center transformations using Amazon Connect and generative AI. Build AI agents, contact flows, serverless backends, CDK infrastructure, observability, and full-stack agent/admin tooling. Own implementation, testing, production cutovers, and mentor junior engineers while collaborating directly with customer teams and contributing reusable practice assets.

Lead architecture, design, and delivery of cloud-native AWS applications; translate customer requirements into engineering backlogs; guide Agile ceremonies; write production-quality code and tests; configure AWS resources, CI/CD, IaC, monitoring, and automation; mentor and coach engineers; troubleshoot dev/test/prod environments and integrate generative AI where appropriate.