Amazon Jobs
Sr. AI/ML Specialist Solutions Architect, Amazon Web Services, US SLG & EDU
Amazon Jobs, Seattle, Washington, us, 98127
Overview
Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI and Agentic AI? We are seeking a Senior AI/ML Specialist Solutions Architect to support U.S. State and Local Government and Education (SLG/EDU) customers. You will design scalable, secure, and cost-effective AI/ML, Generative AI and Agentic AI solutions that leverage AWS services, and help public sector organizations navigate their AI transformation. You will partner with account teams, domain specialists, and business development to guide customers in building secure, scalable, mission-aligned AI/ML solutions. You will establish robust MLOps practices and enterprise-grade architectures that drive outcomes for public services, student success, and operational efficiency. You will create technical content such as reference architectures, workshops, and demos to support customer adoption and enable partners and ISVs, and help scale impact through field-ready enablement materials.
Key job responsibilities
Act as a trusted technical advisor to public sector customers in the SLG and EDU space, guiding adoption and deployment of AWS services 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 AI stack. Partner with SLG/EDU customers to understand objectives, modernize legacy systems, and ensure solutions meet security, compliance, governance, and responsible AI requirements.
Serve as a thought leader in the AI/ML and generative AI space for the public sector by developing and sharing practical, real-world technical assets such as reference architectures, workshops, hands-on labs, and demo solutions that showcase modern AI patterns (LLM integration, retrieval-augmented generation (RAG), autonomous agents, and MLOps) 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, and contributing to technical communities focused on government and education innovation through AI.
Qualifications
5+ years of specific technology domain experience (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) and 8+ years of IT development or implementation/consulting in software or Internet industries.
Minimum of 5 years of experience building production-grade AI systems, including at least 2 years 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.
5+ years of infrastructure architecture, database architecture and networking experience.
Experience with open-source frameworks for building applications powered by language models such as 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.
About the team About AWS. AWS values diverse experiences and encourages candidates to apply even if you do not meet all listed qualifications. If your career is just starting or has followed an alternative path, consider applying.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate to power customers from startups to Global 500 companies.
Inclusive culture and support We value diversity and inclusion. Our employee-led affinity groups foster a culture that embraces differences. We offer mentorship, career growth resources, and programs to support work-life harmony.
Compensation and benefits Our compensation reflects the cost of labor across several US markets. Base pay ranges from $138,200/year to $239,000/year, depending on location, knowledge, skills, and experience. Amazon is a total compensation company; depending on the role, equity, sign-on, and other benefits may be provided in addition to a full benefits package. For more information, please visit the website or contact a Recruiting Partner. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Key job responsibilities
Act as a trusted technical advisor to public sector customers in the SLG and EDU space, guiding adoption and deployment of AWS services 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 AI stack. Partner with SLG/EDU customers to understand objectives, modernize legacy systems, and ensure solutions meet security, compliance, governance, and responsible AI requirements.
Serve as a thought leader in the AI/ML and generative AI space for the public sector by developing and sharing practical, real-world technical assets such as reference architectures, workshops, hands-on labs, and demo solutions that showcase modern AI patterns (LLM integration, retrieval-augmented generation (RAG), autonomous agents, and MLOps) 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, and contributing to technical communities focused on government and education innovation through AI.
Qualifications
5+ years of specific technology domain experience (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) and 8+ years of IT development or implementation/consulting in software or Internet industries.
Minimum of 5 years of experience building production-grade AI systems, including at least 2 years 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.
5+ years of infrastructure architecture, database architecture and networking experience.
Experience with open-source frameworks for building applications powered by language models such as 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.
About the team About AWS. AWS values diverse experiences and encourages candidates to apply even if you do not meet all listed qualifications. If your career is just starting or has followed an alternative path, consider applying.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate to power customers from startups to Global 500 companies.
Inclusive culture and support We value diversity and inclusion. Our employee-led affinity groups foster a culture that embraces differences. We offer mentorship, career growth resources, and programs to support work-life harmony.
Compensation and benefits Our compensation reflects the cost of labor across several US markets. Base pay ranges from $138,200/year to $239,000/year, depending on location, knowledge, skills, and experience. Amazon is a total compensation company; depending on the role, equity, sign-on, and other benefits may be provided in addition to a full benefits package. For more information, please visit the website or contact a Recruiting Partner. This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr