Senior Value Engineer - Public Sector

Celonis Celonis · Data AI · Redwood City, CA +1 · Value Engineering

This role focuses on applying AI and Process Intelligence to solve critical operational challenges for Public Sector clients. The Senior Value Engineer will work with clients to understand their objectives, prototype AI solutions using platforms like Celonis, Microsoft, OpenAI, and Databricks, and demonstrate their value. Key responsibilities include AI discovery, pre- and post-sales execution, prototyping, building agentic systems with RAG and LLMs, and leading Proof-of-Value projects. The role requires expertise in generative AI techniques, Python, ML libraries, and experience in the public sector.

What you'd actually do

  1. Understand public sector AI strategies and specific agency challenges (e.g., benefits administration backlogs, procurement bottlenecks, public safety resource allocation, or permitting delays). As a Celonis product and government domain expert, find the best problem-solution fit and translate agency requirements into innovative solutions that deliver measurable public impact.
  2. Actively drive the full customer lifecycle within the public sector. Lead technical discovery and capability demonstrations during the complex government pre-sales and procurement (RFP) cycles, and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully met.
  3. Think out of the box, have a „can-do“ attitude, and don’t shy away from complex legacy processes. Leverage cutting-edge AI technologies to rapidly build creative prototypes in agency hackathons, solving critical pain points to improve constituent experiences.
  4. Support our government customers in achieving real value out of AI deployments at scale, enabling a fundamental shift from traditional, rigid, paper-heavy workflows to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform (e.g., intelligent case triaging or automated compliance checks).
  5. End-to-end execution of critical Proof-of-Value projects. This includes 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 (e.g., StateRAMP, HIPAA, CJIS).

Skills

Required

  • Python
  • LangChain
  • pandas
  • pydantic
  • sklearn
  • PyTorch
  • RAG
  • few-shot learning
  • prompt engineering
  • multi-agent orchestration
  • multimodal understanding
  • fine-tuning
  • StateRAMP
  • HIPAA
  • CJIS

Nice to have

  • agentic systems
  • function calling
  • evaluations
  • guardrails
  • AWS GovCloud
  • Azure Government
  • LlamaIndex
  • OSS packages

What the JD emphasized

  • 5+ years of experience leading technical pre-sales and post-sales engagements specifically within the Public Sector (State & Local Government).
  • 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 (e.g., intelligent constituent-facing chatbots, automated processing of policy documents, or grant application analysis).
  • 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 (e.g., StateRAMP, HIPAA, CJIS).

Other signals

  • AI/ML is core to the product
  • AI is used to drive business value
  • AI is integrated into existing enterprise processes