Amazon Web Services (AWS)
Sr. AI/ML Specialist Solutions Architect, Amazon Web Services, US SLG & EDU
Amazon Web Services (AWS), Seattle, Washington, us, 98127
Overview
Sr. AI/ML Specialist Solutions Architect for AWS—U.S. State and Local Government and Education (SLG/EDU). Role focuses on designing scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions using AWS services. You will partner with account teams and domain specialists to guide customers in building enterprise-grade AI architectures, establish MLOps practices, and create technical assets to enable customer adoption and partner/ISV enablement. Travel up to 30% across the U.S. may be possible. Key responsibilities
Act as a trusted technical advisor to public sector customers in the SLG and EDU space, guiding adoption and deployment of AWS services for enterprise-grade AI/ML architectures, generative AI solutions, and autonomous agent systems tailored to mission needs. Design and architect scalable, secure, and cost-effective AI/ML solutions using AWS services; partner with customers to understand objectives, modernize legacy systems, and ensure security, compliance, governance, and responsible AI requirements. Develop practical technical assets such as reference architectures, workshops, labs, and demos that showcase AI patterns including LLM integration, retrieval-augmented generation (RAG), autonomous agents, and MLOps for use cases like digital citizen services, student success, and government operations. Publish blogs, speak at events, and contribute to technical communities focused on government and education innovation through AI; create field-ready enablement materials for generalist Solution Architects. Basic Qualifications
5+ years of experience in technology domains (software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) or equivalent 8+ years of IT development or implementation/consulting in software/Internet industries Minimum 5 years building production-grade AI systems, including at least 2 years with modern Generative AI technologies (LLMs, foundation models, RAG) and autonomous agent frameworks At least 4 years implementing AI architecture patterns and MLOps, with a minimum of 3 successful deployments of enterprise-grade AI solutions serving 1,000+ users Preferred Qualifications
5+ years infrastructure/database/networking experience Experience with open-source frameworks for language-model-powered applications (e.g., LangChain, LlamaIndex, CrewAI) Experience designing prompts/templates to guide LLM behavior Experience with design, deployment, and evaluation of LLM-powered agents and orchestration Advanced degree in a quantitative field (statistics, mathematics, data science, engineering, computer science, etc.) About AWS
— Diverse experiences are valued. AWS is an equal opportunity employer. If you require a workplace accommodation during the application process, visit amazon.jobs accommodations for more information.
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Sr. AI/ML Specialist Solutions Architect for AWS—U.S. State and Local Government and Education (SLG/EDU). Role focuses on designing scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions using AWS services. You will partner with account teams and domain specialists to guide customers in building enterprise-grade AI architectures, establish MLOps practices, and create technical assets to enable customer adoption and partner/ISV enablement. Travel up to 30% across the U.S. may be possible. Key responsibilities
Act as a trusted technical advisor to public sector customers in the SLG and EDU space, guiding adoption and deployment of AWS services for enterprise-grade AI/ML architectures, generative AI solutions, and autonomous agent systems tailored to mission needs. Design and architect scalable, secure, and cost-effective AI/ML solutions using AWS services; partner with customers to understand objectives, modernize legacy systems, and ensure security, compliance, governance, and responsible AI requirements. Develop practical technical assets such as reference architectures, workshops, labs, and demos that showcase AI patterns including LLM integration, retrieval-augmented generation (RAG), autonomous agents, and MLOps for use cases like digital citizen services, student success, and government operations. Publish blogs, speak at events, and contribute to technical communities focused on government and education innovation through AI; create field-ready enablement materials for generalist Solution Architects. Basic Qualifications
5+ years of experience in technology domains (software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) or equivalent 8+ years of IT development or implementation/consulting in software/Internet industries Minimum 5 years building production-grade AI systems, including at least 2 years with modern Generative AI technologies (LLMs, foundation models, RAG) and autonomous agent frameworks At least 4 years implementing AI architecture patterns and MLOps, with a minimum of 3 successful deployments of enterprise-grade AI solutions serving 1,000+ users Preferred Qualifications
5+ years infrastructure/database/networking experience Experience with open-source frameworks for language-model-powered applications (e.g., LangChain, LlamaIndex, CrewAI) Experience designing prompts/templates to guide LLM behavior Experience with design, deployment, and evaluation of LLM-powered agents and orchestration Advanced degree in a quantitative field (statistics, mathematics, data science, engineering, computer science, etc.) About AWS
— Diverse experiences are valued. AWS is an equal opportunity employer. If you require a workplace accommodation during the application process, visit amazon.jobs accommodations for more information.
#J-18808-Ljbffr