Jobs · Consulting · Colorado

Solutions Architect, Engineering, Construction, Real Estate, and Transportation

Amazon Web Services (AWS) · Denver, CO · 5 days ago
ConsultingFull-time

About the role

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 You maintain technical currency so customers receive guidance based on current capability, not outdated expertise.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

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
    • Present to both large and small audiences (Executives, IT Management, and developers)
    • Communicate across internal and external organizations
    • 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 modernization. The team operates with a "forward-deployed competence" mindset — bringing deep technical expertise directly to where customers need it most.

Requirements

  • 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

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

Pay

  • USA, CA, San Francisco: $151,000 - $204,300 USD annually
  • USA, GA, Atlanta: $131,300 - $177,600 USD annually
  • USA, NY, New York: $144,500 - $195,400 USD annually
  • USA, VA, Arlington: $131,300 - $177,600 USD annually

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.

Benefits

  • Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and option for Supplemental life plans)
  • Employee Assistance Program (EAP) and 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 amazon.jobs/en/benefits.

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