Senior Value Engineer (Public Sector) - Sacramento, CA

Key Responsibilities

• Understand public sector AI strategies and specific agency challenges.
• Find the best problem-solution fit and translate agency requirements into innovative solutions that deliver measurable public impact.
• Lead technical discovery and capability demonstrations during the complex government pre-sales and procurement (RFP) cycles.
• Remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully met.
• Leverage cutting-edge AI technologies to rapidly build creative prototypes in agency hackathons, solving critical pain points to improve constituent experiences.
• Support government customers in achieving real value out of AI deployments at scale, enabling a fundamental shift from traditional workflows to the use of autonomous AI agents.
• End-to-end execution of critical Proof-of-Value projects, including architecting and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails, while seamlessly integrating with government enterprise data, identity protocols, and stringent compliance/security frameworks.

Requirements

• 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, translating high-level policy or agency needs into specific, impactful AI use cases.
• Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases.
• Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
• Strong presentation skills to both internal and external stakeholders.

Nice To Have (big Plus)

• 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.