Join the AWS Enterprise team as a Customer Deployed Engineer SA for Engineering, Construction, Real Estate, and Transportation (ECRT) customers. You will define and prove technical direction for major industrial operators by combining architectural reasoning and strategic advisory with hands-on validation in customer environments. You build working prototypes, proof-of-concepts, and AI-driven solutions that accelerate customer decisions and remove the gap between architectural recommendation and validated proof.

You operate where the path forward may be is undefined and must be defined by you. Your ECRT customers have business objectives (reduce project delivery risk, optimize fleet operations, modernize asset management) but may not have defined technology strategy or solution design. You create and adapt approaches for situations where established patterns are insufficient, applying contextual judgment about your customers' operational constraints, regulatory environment, and competitive dynamics.

You will be the primary technical partner for major US construction, real estate, and transportation operators. You lead with Agentic AI and AI-assisted development to solve customer problems, and you steer customers away from where hype outpaces practical value for their operational context. You maintain technical currency so customers receive guidance based on current capability, not outdated expertise. You build deep relationships with customers' senior technical leaders to enable them to be cloud advocates.

You are technically self-sufficient, yet you know when to seek help: you are capable of using AI tools and delivering directly in customer sandbox environments. You drive the architectural decisions that downstream teams (customer engineering, ProServe, partners) build against, and you own the consequences with the customer when those decisions need revisiting.

Key job responsibilities

Technical Proof & Validation

- 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 for digital twins (IoT TwinMaker), fleet IoT, predictive maintenance, and agentic AI, 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 ECRT customer problems

Architectural Reasoning & Decision Ownership

- 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.

Strategic Advisory & Customer Influence

- Own the end-to-end technical strategy for assigned ECRT 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

Revenue & Opportunity Acceleration

- 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

Customer Relationship & Communication Skills

- 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.

About the team

The ECRT Solutions Architecture team covers the largest Engineering, Construction, Real Estate Transportation and Logistics customers across North America. We sit within the AWS Enterprise Business Unit and drive technical outcomes across cloud transformation, AI adoption, network cloudification, and software modernisation. The team operates with a "forward-deployed competence" mindset - bringing deep technical expertise directly to where customers need it most.

BASIC QUALIFICATIONS

- 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, or experience in a professional field or military

- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients

- Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers

PREFERRED QUALIFICATIONS

- Experience in construction technology, real estate platforms, transportation/logistics, or industrial IoT (digital twins, fleet management, BIM, predictive maintenance)

- Hands-on proficiency with AI/ML in production: agentic architectures, RAG pipelines, multi-agent orchestration, foundation model integration

- Experience with AI-augmented development workflows (Kiro, Claude Code, or similar)

- Track record of producing original technical content (reference architectures, workshops, code) adopted by peers or customers

- Experience challenging and influencing customer technical direction based on evidence, not only supporting stated goals

- Knowledge of the broader technology ecosystem including partner solutions and open-source alternatives

- Experience working with end user or developer communities

- Relevant AWS certifications (Solutions Architect Professional, Specialty certifications)

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually

USA, NY, New York - 169,000.00 - 228,600.00 USD annually

USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually