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

Join AWS as a Senior AI/ML Specialist Solutions Architect to drive the adoption and implementation of cutting-edge AI, Generative AI, and Agentic AI solutions for U.S. State, Local Government, and Education (SLG/EDU) customers.

This role is for an experienced technologist passionate about transforming public sector organizations with scalable, secure, and cost-effective AI/ML solutions on the AWS cloud. You will act as a Subject Matter Expert, guiding customers through their AI transformation journeys.

• *Key Responsibilities:**
• Serve as a trusted technical advisor for SLG/EDU customers, building relationships with technical decision-makers.
• Design and architect enterprise-grade AI/ML, Generative AI, and autonomous agent solutions tailored to public sector missions, ensuring security, compliance, and responsible AI.
• Collaborate with account teams and domain specialists to drive successful adoption and deployment of AWS AI services.
• Establish robust MLOps practices and build future-proof AI architectures for meaningful public service outcomes.
• Create and disseminate technical content, including reference architectures, workshops, hands-on labs, and demos showcasing modern AI patterns (LLM integration, RAG, autonomous agents, MLOps).
• Amplify AWS thought leadership by publishing blogs, speaking at events, and contributing to technical communities.
• Develop enablement materials to empower generalist Solution Architects in incorporating AI/ML into customer engagements.
• *Qualifications:**
• 5+ years in specific technology domains (e.g., software development, cloud computing, systems engineering, security, data & analytics).
• 8+ years of IT development, implementation, or consulting experience in software/Internet industries.
• Minimum 5 years of experience building production-grade AI systems, including at least 2 years with modern Generative AI technologies (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.
• Deep technical experience across the AI spectrum: traditional ML, deep learning, Generative AI, and Agentic AI, backed by strong mathematics/statistics.
• Hands-on experience with LLMs, foundation models, autonomous agent frameworks, RAG systems, prompt engineering, and multi-agent systems.
• Proficiency with commercial and open-source technologies, including frameworks like LangChain, Hugging Face, PyTorch, and vector databases/embedding models.
• Excellent communication skills, with the ability to engage executives and developers.
• Ability to travel up to 30% across the U.S.
• *Preferred Qualifications:**
• 5+ years of infrastructure, database, and networking experience.
• Experience with open-source frameworks like LangChain, LlamaIndex, CrewAI.
• Expertise in designing, developing, and optimizing prompts for 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).
• *Compensation:**
• The base pay for this position ranges from $138,200/year to $239,000/year, based on market location, job-related knowledge, skills, and experience. Total compensation may include equity, sign-on payments, and other benefits.