Description Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI and Agentic AI? Are you excited by the challenge of driving production usage of ML and AI at scale? Come join us! ML and AI, especially Generative AI and Agentic AI, are rapidly growing in importance. We're witnessing the revolutionary impact of Generative AI creating everything from code to content, while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics, AI is transforming every industry. Given the massive computational scale required for developing AI models, particularly large language models and autonomous agents, the cloud is an ideal place to deploy AI models, and Amazon Web Services (AWS) is the leader in the deployment of AI. We're looking for someone passionate and deeply excited about this space. Someone who is devoted to helping customers understand how AI can make a big difference to their businesses. As a Senior AI/ML Specialist Solutions Architect on the Data and AI team supporting U.S. State and Local Government and Education (SLG/EDU) customers, you will be the Subject Matter Expert (SME) for designing scalable, secure, and cost-effective AI/ML, Generative AI and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you will play a critical role in helping public sector organizations navigate their AI and generative AI transformation. You will partner with account teams, domain specialists (including those in analytics, databases, storage, and containers), and business development to guide customers in building secure, scalable, and mission-aligned AI/ML solutions. Your focus will include establishing robust MLOps practices and designing enterprise-grade architectures that drive meaningful outcomes for public services, student success, and operational efficiency. In this role, you will also create technical content—such as reference architectures, workshops, and demos—to support customer adoption and enable partners and independent software vendors (ISVs). Additionally, you will help scale impact by developing field-ready enablement materials that empower generalist Solution Architects to incorporate AI/ML and generative AI into their public sector customer engagements. You must have deep technical experience across the AI spectrum - from traditional ML and deep learning to Generative AI and Agentic AI - backed by a strong mathematics and statistics foundation. This includes hands-on experience with large language models (LLMs), foundation models, and autonomous agent frameworks, alongside expertise in implementing RAG systems, designing prompt engineering frameworks, and developing multi-agent systems. You should be proficient with both commercial and open-source technologies, including popular frameworks like LangChain, Hugging Face, and PyTorch, as well as vector databases and embedding models. Your comprehensive understanding of the AI/ML ecosystem, including leading vendors, emerging startups, and key open-source projects, will be crucial in helping AWS customers create robust ML pipelines, establish effective MLOps practices, and build future-proof AI architectures. Candidates must have great communication skills and be very technical, with the ability to engage AWS customers at any level, from executives to developers. Previous experience with AWS is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior engineers at customers, partners and AWS service teams, influencing their roadmaps and driving innovation. If you are someone who enjoys innovating, likes solving hard problems and working on the latest and greatest technology, we would love to have you on the team. Travel up to 30% across the U.S. may be possible. Key job responsibilities • Act as a trusted technical advisor to public sector customers in the SLG and EDU space, building strong relationships with technical decision-makers to guide the adoption and deployment of AWS services—particularly around enterprise-grade AI/ML architectures, generative AI solutions, and autonomous agent systems tailored to mission needs in government and education. • Design and architect scalable, secure, and cost-effective AI/ML solutions using AWS’s comprehensive AI stack—from traditional machine learning services to the latest generative AI offerings. Partner closely with SLG/EDU customers to understand their organizational objectives, modernize legacy systems, and ensure solutions meet requirements for security, compliance, governance, and responsible AI. • Serve as a thought leader in the AI/ML and generative AI space for public sector by developing and sharing practical, real-world technical assets. This includes creating reference architectures, workshops, hands-on labs, and demo solutions that showcase modern AI patterns such as LLM integration, retrieval-augmented generation (RAG), autonomous agents, and MLOps tailored for use cases like digital citizen services, student success, and government operations. • Amplify AWS thought leadership by publishing blogs, speaking at public sector events and webinars, contributing to technical communities focused on government and education innovation through AI. About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the 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 - 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 8+ years of IT development or implementation/consulting in the software or Internet industries experience - Minimum of 5 years of experience building production-grade AI systems, including at least 2 years working with modern Generative AI technologies (e.g., LLMs, foundation models, RAG systems) and autonomous agent frameworks. - At least 4 years of experience implementing AI architecture patterns and MLOps practices, with a minimum of 3 successful deployments of enterprise-grade AI solutions serving 1,000+ users. Preferred Qualifications - 5+ years of infrastructure architecture, database architecture and networking experience - Experience with open-source frameworks for building applications powered by language models like LangChain, LlamaIndex, and CrewAI, etc. - Experience designing, developing, and optimizing prompts and templates that guide LLM behavior. - Experience with design, deployment, and evaluation of LLM-powered agents and orchestration. - Advanced degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. 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. 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.