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

## Senior AI/ML Specialist Solutions Architect (Public Sector)

Join AWS as a Senior AI/ML Specialist Solutions Architect, driving the adoption and implementation of cutting-edge AI technologies for U.S. State, Local Government, and Education (SLG/EDU) customers. This role involves designing and architecting scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions.

### Key Responsibilities

• Act as a trusted AI/ML advisor for U.S. State, Local Government, and Education (SLG/EDU) customers, guiding their AI transformation on AWS.
• Design and architect secure, scalable, and cost-effective AI/ML, Generative AI, and Agentic AI solutions on AWS, ensuring compliance and responsible AI practices.
• Lead the establishment of robust MLOps practices and enterprise-grade AI architectures tailored for public sector use cases.
• Create technical content, including reference architectures, workshops, hands-on labs, and demos, to drive customer adoption and enable partners and ISVs.
• Develop field-ready enablement materials, empowering generalist Solution Architects to incorporate AI/ML and Generative AI into public sector engagements.
• Serve as a thought leader in the AI/ML and Generative AI space, publishing blogs and speaking at public sector events and webinars.

### Basic Qualifications

• 8+ years of IT development, implementation, or consulting experience in the software or internet industries.
• 5+ years of experience building production-grade AI systems, including at least 2 years working with modern Generative AI technologies (LLMs, foundation models, RAG systems) and autonomous agent frameworks.
• 4+ years of experience implementing AI architecture patterns and MLOps practices, with at least 3 successful deployments of enterprise-grade AI solutions (serving 1,000+ users).
• Deep technical expertise across the AI spectrum (ML, Deep Learning, Generative AI, Agentic AI), supported by a strong mathematics and statistics foundation.
• Hands-on proficiency with LLMs, foundation models, autonomous agents, RAG systems, prompt engineering, and multi-agent systems.
• Proficiency with commercial and open-source AI technologies, including frameworks like LangChain, Hugging Face, PyTorch, vector databases, and embedding models.
• Excellent communication skills, with the ability to engage stakeholders from executives to developers.

### Preferred Qualifications

• 5+ years of experience in infrastructure architecture, database architecture, and networking.
• Experience with open-source frameworks for building LLM-powered applications (e.g., LangChain, LlamaIndex, CrewAI).
• Experience in designing, developing, and optimizing prompts and templates that guide LLM behavior.
• Experience with the design, deployment, and evaluation of LLM-powered agents and orchestration.
• Advanced degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science.
• *Travel:** Ability to travel up to 30% across the U.S.
• *Compensation:** Base pay for this position ranges from $138,200 to $239,000/year, varying by market location and job-related knowledge, skills, and experience. Total compensation includes equity, sign-on payments, and comprehensive benefits.