Amazon Web Services (AWS)
Sr. AI/ML Specialist Solutions Architect, Amazon Web Services, US SLG & EDU
Amazon Web Services (AWS), Boston, Massachusetts, us, 02298
Sr. AI/ML Specialist Solutions Architect, AWS SLG/EDU
Role overview: You will be the Subject Matter Expert (SME) for designing scalable, secure, and cost‑effective AI/ML, Generative AI and Agentic AI solutions using AWS services for U.S. State and Local Government and Education (SLG/EDU) customers. You will partner with account teams and domain specialists to guide customers in building secure, scalable, and mission‑aligned AI/ML solutions, establish robust MLOps practices, and design enterprise‑grade architectures that drive outcomes for public services, student success, and operational efficiency. You will create technical content (reference architectures, workshops, demos) and enable field teams with enablement materials to broaden AI adoption in public sector engagements.
Travel: Up to 30% across the U.S. may be possible.
Key responsibilities
Act as a trusted technical advisor to public sector customers in SLG/EDU, guiding adoption and deployment of AWS services for enterprise‑grade AI/ML architectures, generative AI solutions, and autonomous agent systems aligned to mission needs.
Design and architect scalable, secure, and cost‑effective AI/ML solutions using AWS’ AI stack. Collaborate with customers to understand objectives, modernize legacy systems, and ensure security, compliance, governance, and responsible AI requirements are met.
Develop practical technical assets as a thought leader—reference architectures, workshops, hands‑on labs, and demos that illustrate patterns such as LLM integration, retrieval‑augmented generation (RAG), autonomous agents, and MLOps for use cases like digital citizen services, student success, and government operations.
Contribute to AWS thought leadership by publishing blogs, speaking at public sector events and webinars, and participating in communities focused on government and education AI innovation.
Required qualifications
5+ years in technology domains (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
8+ years of IT development or implementation/consulting experience in software or 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 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 LLM‑powered applications (e.g., LangChain, LlamaIndex, CrewAI) and with prompts/templates design for LLM behavior
Experience designing, developing, and evaluating LLM‑powered agents and orchestration
Advanced degree in statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
Note: This role requires strong communication skills and the ability to engage AWS customers at all levels, from executives to developers. Prior AWS experience is helpful but not required if you have experience building large‑scale solutions.
EEO and accommodations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you require a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year to $239,000/year, depending on location and experience. This position may include additional compensation such as equity or sign‑on benefits as part of a total compensation package. For more information, visit https://www.aboutamazon.com/workplace/employee-benefits.
Job ID: A3077116
#J-18808-Ljbffr
Travel: Up to 30% across the U.S. may be possible.
Key responsibilities
Act as a trusted technical advisor to public sector customers in SLG/EDU, guiding adoption and deployment of AWS services for enterprise‑grade AI/ML architectures, generative AI solutions, and autonomous agent systems aligned to mission needs.
Design and architect scalable, secure, and cost‑effective AI/ML solutions using AWS’ AI stack. Collaborate with customers to understand objectives, modernize legacy systems, and ensure security, compliance, governance, and responsible AI requirements are met.
Develop practical technical assets as a thought leader—reference architectures, workshops, hands‑on labs, and demos that illustrate patterns such as LLM integration, retrieval‑augmented generation (RAG), autonomous agents, and MLOps for use cases like digital citizen services, student success, and government operations.
Contribute to AWS thought leadership by publishing blogs, speaking at public sector events and webinars, and participating in communities focused on government and education AI innovation.
Required qualifications
5+ years in technology domains (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
8+ years of IT development or implementation/consulting experience in software or 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 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 LLM‑powered applications (e.g., LangChain, LlamaIndex, CrewAI) and with prompts/templates design for LLM behavior
Experience designing, developing, and evaluating LLM‑powered agents and orchestration
Advanced degree in statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
Note: This role requires strong communication skills and the ability to engage AWS customers at all levels, from executives to developers. Prior AWS experience is helpful but not required if you have experience building large‑scale solutions.
EEO and accommodations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you require a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year to $239,000/year, depending on location and experience. This position may include additional compensation such as equity or sign‑on benefits as part of a total compensation package. For more information, visit https://www.aboutamazon.com/workplace/employee-benefits.
Job ID: A3077116
#J-18808-Ljbffr