Senior Value Engineer - Public Sector
$156,000–$183,000 year
On-siteRedwood City, California, United States
Job Summary
Lead technical discovery and capability demonstrations for State and Local Government agencies during complex pre-sales and procurement cycles. Prototype AI-driven solutions using Celonis Process Intelligence and partner technologies like Microsoft and Databricks to address challenges in benefits administration, procurement, and public safety. Architect and deliver secure, scalable LLM/agent systems with RAG and guardrails for Proof-of-Value projects, ensuring successful implementation and adoption. Serve as the internal and external subject matter expert for the public sector vertical, translating agency needs into innovative solutions that unlock ROI on AI deployments.
Required Qualifications
- 5+ years of experience leading technical pre-sales and post-sales engagements specifically within the Public Sector (State & Local Government)
- Deep understanding of business processes native to state and local governments (such as Health & Human Services, Procurement, Finance, DMV operations, or Public Safety)
- Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning
- Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, Pydantic) as well as data engineering tools and technologies
- Strong presentation skills to both internal and external stakeholders (including elected officials, agency directors, and IT leadership)
- Bachelor's Degree
- Master's Degree in computer science, engineering, mathematics, or related fields
Desired Qualifications
- Master's Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred
- Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails suited for highly scrutinized public sector environments
- Experience in deploying and monitoring models at scale within government-compliant cloud environments (e.g., AWS GovCloud, Azure Government)
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages
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