From Amazon's posting. “We” and “our” refer to the employer.
Application deadline: Sep 28, 2026
Join the AWS Enterprise team as an 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 close the gap between architectural recommendation and validated proof.
You operate where the path forward 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 a 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 areas 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 You maintain technical currency so customers receive guidance based on current capability, not outdated expertise.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 become 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
4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
2+ years of design, implementation, or consulting in applications and infrastructures experience
5+ years of IT development or implementation/consulting in the software or Internet industries experience
Preferred Qualifications
Knowledge of cloud architecture
Experience in technology/software sales, pre-sales, or consulting
Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
GenAI and Data Analytics practitioner. Early adopter of new technologies.
Equal Opportunity
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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, CA, San Francisco - 151,000.00 - 204,300.00 USD annually
USA, CO, Denver - 131,300.00 - 177,600.00 USD annually
USA, GA, Atlanta - 131,300.00 - 177,600.00 USD annually
USA, NY, New York - 144,500.00 - 195,400.00 USD annually
USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually
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