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[Remote] CDE Sr. Solutions Architect, Software and Technology
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[Remote] CDE Sr. Solutions Architect, Software and Technology
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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
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. It was founded in 2002, and is headquartered in Seattle, Washington, USA, with a workforce of 10001+ employees. Its website is http://aws.amazon.com.
Company H1B Sponsorship
Amazon Web Services (AWS) has a track record of offering H1B sponsorships, with 7552 in 2026, 22803 in 2025, 21175 in 2024, 19057 in 2023, 24088 in 2022, 12233 in 2021, 14881 in 2020. Please note that this does not guarantee sponsorship for this specific role.