Description Amazon Web Services (AWS) is seeking an experienced and motivated Solutions Architect specializing in autonomous systems integration who aligns with our Leadership Principles and possesses a unique balance of technical depth and strong interpersonal skills. You will partner with customers, AWS Sales, and several other AWS teams to craft highly scalable, flexible, and resilient autonomous system architectures that address complex customer challenges, particularly in tactical edge environments. You will design solutions that overcome denied, degraded, intermittent, and limited (DDIL) connectivity scenarios while enabling seamless integration between edge operations and cloud infrastructure. You will develop infrastructure as code solutions and build automation pipelines to ensure consistent, repeatable deployments of autonomous systems at scale. In collaboration with sales, you will drive revenue growth across a broad set of customers implementing autonomous systems, from individual platforms to complex swarms. As a trusted customer advocate, you will help organizations understand best practices around advanced cloud-based autonomous solutions, edge inference capabilities, and cloud retraining architectures. You will have the opportunity to help shape and execute strategies for autonomous systems integration at scale. This position requires that the candidate selected be a US Citizen and obtain and maintain an active TS/SCI security clearance. Key job responsibilities • Design and architect scalable autonomous systems solutions that function effectively in DDIL environments • Develop infrastructure as code templates and automation pipelines for consistent system deployment • Create CI/CD workflows for autonomous system software and configuration management • Develop edge-to-cloud architectures that enable efficient local inference and cloud-based model retraining • Create reference architectures for autonomous system swarms, including communication protocols and control systems • Formulate and execute sales strategies to exceed revenue objectives through the adoption of AWS autonomous solutions • Educate customers on the value proposition of AWS for autonomous systems, particularly in edge computing scenarios • Conduct deep architectural discussions to ensure solutions are designed for successful deployment in challenging environments • Author technical content and best practices for autonomous systems deployment • Build deep relationships with technical leaders to enable them to be autonomous systems advocates • Act as a technical liaison between customers, service engineering teams and support • Some travel (<20%) is required for training and client visits About the team About AWS 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 Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 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 in the cloud. Basic Qualifications - 12+ years of experience in technology, with at least 5 years focused on autonomous systems within the defense domain - Strong background in edge computing and DDIL environment solutions - Experience with infrastructure as code and automation tools (e.g., CloudFormation, Terraform, AWS CDK) - Experience with autonomous system control architectures and swarming algorithms - Expertise in edge-to-cloud integration patterns and distributed systems - Demonstrated success in technical architecture and customer engagement Preferred Qualifications - Master’s degree in Robotics, AI, Computer Science, or related field - Strong programming experience in Python, C++, or similar languages - Experience with CI/CD pipelines and DevOps practices - Experience with AWS services (especially Cloud networking, IoT Core, Greengrass, and SageMaker) - Background in implementing autonomous solutions in tactical edge environments - Knowledge of AI/ML frameworks and edge deployment patterns - Experience with simulation environments and digital twins - Understanding of communication protocols and mesh networking - Experience with multi-agent systems and swarm Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.