Description Amazon Web Services is seeking a Solutions Architect to support our US Government customers in the DC Metro area. Do you like helping U.S. Intelligence Community agencies implement innovative cloud computing solutions and solve technical problems? Would you like to do this using the latest cloud computing technologies? Do you have a knack for helping these groups understand application architectures and integration approaches, and the consultative and leadership skills to launch a project on a trajectory to success? Are you familiar with security best practices for applications, servers, and networks? Do you want to be part of the business development team helping to establish Amazon Web Services (AWS) as a leading technology platform? Would you like to be part of a sales group, but have your opinion valued as a technical resource as part of planning and strategies? At Amazon, we've been investing deeply in building the right solutions that allow you to derive the most value from your data. AWS is looking for a solutions architect for our Data team, who will be the Subject Matter Expert (SME) helping customers to design complex solutions. As part of the team, you will work closely with National Security customers to enable large-scale use cases and drive the adoption of advanced AWS services. You will interact with other Solution Architects in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers to fully leverage AWS. Our Specialist Solutions Architects are regarded as technical “thought leaders” within the Intelligence Community who evangelize emerging technologies not only on a conceptual level, but also on a practical, architectural level. Our SA’s play a critical role in the widespread adoption and advancement of cloud computing capabilities within the Intelligence Community. They think outside of the box to deliver results and provide solutions that are cost-effective, mission-focused, and secure. On our team, you will work backwards from our customers to develop AWS data solutions and migrate complex workloads to the AWS cloud. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities • Be a subject matter expert on AWS AI/ML services including SageMaker, Bedrock, Transcribe and Textract. • Have experience in architecture, design, and engineering of MLOps and generative AI solutions. • Represent the voice of the customer; bring customer feedback to product teams to influence feature development and future product roadmap. • Provide advanced technical knowledge to unblock our customers’ largest and most critical business challenges. • You will have the technical depth and business experience to deploy data and machine learning strategies • Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. • Partner with Sales Specialist teams to define the technical components of best in class GTM concepts, solutions, and initiatives. • Develop and support an AWS internal community of technical subject matter experts worldwide. • Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services solutions into customer architectures. About the team About AWS 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 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 (gender diversity) 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 - 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 - 5+ years of IT development or implementation/consulting in the software or Internet industries experience - Bachelor's degree, or CASP+ (CompTIA Advanced Security Practitioner) or CCSP (Certified Cloud Security Professional) or Cloud+ or CSSLP (Certified Secure Software Lifecycle Professional) - Current, active US Government Security Clearance of TS/SCI with Polygraph Preferred Qualifications - Experience in technology/software sales, pre-sales, or consulting - Experience working with AI/ML models, including training, inference and detailed scientific analysis. - Experience with GenAI Retrieval Augmented Generation (RAG) and Machine Learning (ML) - Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers. - Strong written communication skills - AWS Solution Architecture certification or relevant cloud expertise 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.