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.
Amazon Web Services (AWS) is looking for an experienced and motivated technologist who possesses a unique balance of technical depth, industry expertise, and strong interpersonal skills. As a Senior Solutions Architect on the ECRT team, you will partner with some of the world's largest engineering, construction, real estate, and transportation & logistics companies, AWS Sales, and several other AWS teams to craft highly scalable, flexible, and resilient cloud architectures that address customer business problems and accelerate the adoption of AWS services.
As a trusted customer advocate, you will help organizations understand best practices around advanced cloud-based solutions — with a particular emphasis on AI/ML, Generative AI, and Agentic AI — and how to modernize existing workloads to the cloud. You will have the opportunity to help shape and execute a strategy to build mindshare and broad use of AWS across the engineering, construction, real estate, and transportation industries, from mid-market firms to global enterprises.
The ideal candidate combines hands-on development and enterprise architecture skills with deep understanding of how AI and cloud technologies transform asset-intensive industries. You must be self-motivated with a proven track record of connecting technology — particularly AI/ML and generative AI — to measurable business value. You should also have a demonstrated ability to think strategically about business, products, and technical challenges unique to ECRT industries such as capital project delivery, building lifecycle management, supply chain optimization, fleet operations, and infrastructure modernization.
Here are some other qualities we are looking for:
Enjoy working with large, complex customers in asset-intensive industries. You will have a passion for educating, training, designing, and building cloud and AI solutions for a diverse set of enterprise customers across engineering, construction, real estate, and transportation & logistics. Have a strong understanding of large-scale computing solutions, modern application development, and how AI/ML workloads integrate with enterprise architectures. Possess the ability to articulate how Generative AI and Agentic AI can transform industry-specific workflows — from autonomous project management and predictive maintenance to intelligent logistics and smart building operations.
Key job responsibilities As a key member of the account team, partner with ECRT customers to ensure their long-term success by helping them harness the power of AWS services — including Amazon Bedrock, Amazon SageMaker, and AWS's AI/ML portfolio — to accelerate their business transformation. Formulate and execute cloud and AI adoption strategies that delight customers and build strong relationships leading to strategic revenue streams that exceed AWS objectives. Become a trusted advisor by gaining deep knowledge of AWS services, AI/ML design patterns, agentic AI frameworks, and industry best practices, and sharing that knowledge with clients, other SAs, and the wider AWS builder community. Design and prototype solutions that demonstrate how Generative AI and Agentic AI can address real-world challenges in construction project delivery, real estate operations, logistics optimization, and engineering workflows. Act as the voice of the customer for AWS service teams to enhance the AWS platform, particularly for ECRT industry use cases. Work with other SAs to develop reusable, industry-specific solutions to common business and architectural problems across the ECRT vertical. Educate customers by leading workshops, hands-on labs, and immersion days to demonstrate how to use AWS AI/ML services and modern application architectures. Network and build deep relationships with senior technical and business leaders within customer organizations to enable them to be cloud and AI advocates. Author and contribute to AWS customer-facing publications such as whitepapers, blog posts, reference architectures, and open-source projects relevant to ECRT industries, and speak at public events. Help hire, onboard, and train new SAs via mentorship and builder programs.
A day in the life Our ECRT Solutions Architecture team is dedicated to helping customers in the engineering, construction, real estate, and transportation & logistics industries transform through cloud and AI adoption. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
About the team 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
- 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
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
Preferred Qualifications
- 5+ years of experience in infrastructure architecture, application development, data architecture, or enterprise integration
- Hands-on experience building or deploying AI/ML, Generative AI, or Agentic AI solutions (e.g., Amazon Bedrock, Amazon SageMaker, LLM-based agents, RAG architectures)
- Experience with modern application development (containers, serverless, microservices, CI/CD, IaC)
- Knowledge of industry-specific platforms and workflows in one or more ECRT sectors (e.g., BIM/digital twins for construction, building management systems for real estate, TMS/fleet management for transportation, SCADA/IoT for utilities infrastructure)
- Experience designing enterprise architectures that integrate AI/ML capabilities with existing line-of-business systems
- Understanding of how data & analytics, IoT, and computer vision apply to asset-intensive industries
- Experience working with C-suite and senior technical decision-makers to drive digital transformation
- Experience working with end-user or developer communities
- AWS certifications (Solutions Architect Professional, Machine Learning Specialty, or equivalent)
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 - 153,600.00 - 207,800.00 USD annually USA, NY, New York - 169,000.00 - 228,600.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually