Sr. AI/ML Specialist Solutions Architect, Amazon Web Services, Us Slg & Edu

Are you passionate about cutting-edge AI technologies? Join AWS as a Senior AI/ML Specialist Solutions Architect, driving the adoption of Generative AI and Agentic AI solutions for U.S. State and Local Government and Education (SLG/EDU) customers.

In this role, you will be the Subject Matter Expert, translating complex customer needs into secure, scalable, and cost-effective AI/ML architectures leveraging the full spectrum of AWS services. You'll play a pivotal role in public sector AI transformation, partnering with account teams and domain specialists to implement robust MLOps practices and build enterprise-grade solutions that deliver significant public service outcomes.

• *Key Responsibilities:**
• Act as a trusted technical advisor, building strong relationships with public sector technical decision-makers.
• Design and architect advanced AI/ML solutions (including Generative AI and autonomous agents) tailored for government and education missions, ensuring security, compliance, and governance.
• Develop and share practical technical assets such as reference architectures, workshops, hands-on labs, and demo solutions that showcase modern AI patterns.
• Amplify AWS thought leadership through blogs, public sector events, and technical communities.
• Create enablement materials to empower generalist Solution Architects in integrating AI/ML into customer engagements.
• *Required Skills & Experience:**
• 5+ years in specific technology domains (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
• 8+ years IT development or implementation/consulting experience in software or Internet industries.
• 5+ years building production-grade AI systems, including at least 2 years with modern Generative AI technologies (LLMs, foundation models, RAG systems) and autonomous agent frameworks.
• 4+ years implementing AI architecture patterns and MLOps practices, with at least 3 successful deployments of enterprise-grade AI solutions serving 1,000+ users.
• Deep technical experience across traditional ML, Deep Learning, Generative AI, and Agentic AI, backed by a strong mathematics and statistics foundation.
• Hands-on experience with LLMs, foundation models, and autonomous agent frameworks.
• Expertise in RAG systems, prompt engineering, and multi-agent systems.
• Proficiency with commercial and open-source technologies (e.g., LangChain, Hugging Face, PyTorch, vector databases, embedding models).
• Excellent communication skills, capable of engaging executives and developers.
• *Preferred Qualifications:**
• 5+ years of infrastructure architecture, database architecture, and networking experience.
• Experience with open-source frameworks like LangChain, LlamaIndex, and CrewAI.
• Experience designing, developing, and optimizing prompts and templates for LLM behavior.
• Experience with design, deployment, and evaluation of LLM-powered agents and orchestration.
• Advanced degree in a quantitative field (e.g., statistics, mathematics, data science, computer science).
• *Additional Information:**
• Travel up to 30% across the U.S. may be possible.
• Base pay for this position ranges from $138,200/year to $239,000/year, depending on market location, job-related knowledge, skills, and experience. Amazon offers a comprehensive total compensation package including equity, sign-on payments, and benefits.