Job Description

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.

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 You maintain technical currency so customers receive guidance based on current capability, not outdated expertise.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.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

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
• 7+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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, GA, Atlanta - 131,300.00 - 177,600.00 USD annually

USA, IL, Chicago - 131,300.00 - 177,600.00 USD annually

USA, NY, New York - 144,500.00 - 195,400.00 USD annually

USA, TX, Austin - 131,300.00 - 177,600.00 USD annually

USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually