Note: The job is a remote job and is open to candidates in USA. Amazon Web Services (AWS) is a comprehensive cloud platform provider serving organizations worldwide. AWS is seeking a Customer Deployed Engineer Solutions Architect to define and validate technical direction for Software and Technology customers through architectural advisory, hands-on prototypes, AI-driven solutions, and strategic customer engagement. The role owns architectural decisions, accelerates AWS adoption, influences senior technical leaders, and translates customer feedback into product improvements.

Responsibilities

• Build working prototypes in customer non-production sandbox environments using AI-augmented development tools (Kiro, Claude Code, Bedrock) to validate architectural recommendations and accelerate customer adoption
• Implement directly to unblock customer decisions: build PoCs proving architectural approaches that conversations alone cannot validate
• Deploy infrastructure using IaC (CDK, Terraform) in customer sandboxes, demonstrating scalability and security patterns
• Apply GenAI and agentic systems (multi-agent orchestration, RAG pipelines, foundation model integration) where they solve customer problems
• Frame and resolve technical trade-offs involving multiple competing concerns (security vs. cost vs. operational burden vs. time-to-market vs. industry compliance), bringing a clear recommendation with alternatives articulated
• Make cross-cutting architectural decisions that ensure coherence across systems, teams, and workstreams; flag decisions that are difficult to reverse before the customer commits
• Diagnose non-obvious architectural issues including resilience gaps, failover weaknesses, scaling bottlenecks, and security vulnerabilities specific to industrial IoT and construction technology environments
• Own the architectural decisions that downstream teams build against and own the consequences with the customer when those decisions need revisiting
• Stay engaged through implementation to ensure the architecture holds against the reality of the customer's environment; know when accumulated context warrants a revised approach
• Own the end-to-end technical strategy for assigned customers, maintaining the current view of their technical landscape, industry context, and competitive dynamics
• Partner with the sales team, formulate and execute a sales strategy to exceed revenue objectives through the adoption of AWS
• Influence senior leaders' technology direction by connecting short-term AI and cloud decisions to long-term business outcomes; earn trust through guidance that consistently delivers the outcomes they expected
• Challenge customer direction when evidence indicates a better path; customers avoid costly rework because you identify risk early and bring considered alternatives
• Shape AI and cloud strategy for major operators — translating complex capabilities into business-outcome narratives
• Accelerate customer adoption by removing ambiguity through validated proof points, measurably reducing the time from architectural recommendation to customer commitment
• Identify new opportunities discovered during customer engagements
• Increase service adoption through tangible multi-service integration demos
• Conduct one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS
• Identify implementation pathways that benefit from ProServe expertise, creating natural expansion opportunities through demonstrated value
• Experience presenting to both large and small audiences (Executives, IT Management, and developers)
• Experience communicating across internal and external organizations
• Ability to moderate tone and technical depth based on audience
• Ability to pick up on non-verbal communication and "un-said" drivers
• Author or otherwise contribute to AWS customer-facing publications such as blogs and whitepapers
• Translate customer feedback into clear, actionable requirements that service teams act on; synthesize evidence across multiple engagements rather than relaying feedback from one. Accelerate development and reduce ambiguity by creating code for a proposed feature to illustrate your requirement that can be reviewed and evaluated for inclusion into product codebase

Skills

• • 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• • 3+ years of design, implementation, or consulting in applications and infrastructures experience
• • Bachelor's degree in computer science, engineering, mathematics or equivalent
• • Demonstrated ability to build and validate solutions hands-on (code, infrastructure as code, tested deployments), not only advise
• • Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients including building deep relationships with senior technical leaders
• • Experience working with end user or developer communities
• • Experience working in a Software and Technology segment, with startups or ISVs
• • Hands-on proficiency with AI/ML in production: agentic architectures, RAG pipelines, multi-agent orchestration, foundation model integration
• • Track record of producing original technical content (reference architectures, workshops, code) adopted by peers or customers
• • Experience with AI-augmented development workflows (Kiro, Claude Code, or similar)

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance, including medical, dental, vision, prescription, Basic Life & AD&D insurance and an option for Supplemental life plans
• Employee Assistance Program (EAP)
• Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave
• Employee-led and company-sponsored affinity groups
• Inclusion events
• Knowledge-sharing, mentorship and other career-advancing resources
• Flexibility as part of the working culture

Company Overview

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