Lead Applied Value Engineer - AI & Process Intelligence Consultant

As Senior Applied Value Engineer, you are a strategic pioneer leading the charge in solving complex, business-critical problems for our customers. Working with our most strategic global accounts, you will diagnose their strategy and key operational challenges to discover and build tailored, domain-specific use cases. You will architect and prototype state-of-the-art AI and technical solutions on the Celonis platform, demonstrate their business impact to C-suite Executives, and ensure successful implementation, adoption, and value realization.

Responsibilities

Discovery & Advanced AI Solutioning: act as the foremost Celonis product and domain positioning expert, translate domain expertise and customer requirements into enterprise architecture, and lead technical discovery to architect, prototype, and build bespoke AI solutions; AI Solution Development: lead end-to-end execution of high-stakes Proof-of-Value (PoV) projects, architecting and delivering secure, scalable LLM/agent systems with advanced RAG, tools, and guardrails, integrated with enterprise data, identity, and compliance frameworks; Value Selling & Realization: act as a trusted advisor on strategic accounts to ensure value realization, adoption thresholds, and operational transformations; Domain & Industry Specialization: architect industry-specific E2E solutions, codify them into reusable methodology and globally scalable assets, and mentor junior peers

Requirements

Executive-Facing Presales & Value Engineering (7+ years): independently owning the technical close, driving AI transformation narratives, accountable PoV execution, complex ROI/TCO modeling, and pitching visionary solutions to hidden problems; Domain & Industry Expertise: knowledge of core operational workflows and industry landscapes (e.g., supply chain, finance) and the ability to connect systemic bottlenecks to strategic AI solutions; Agentic AI Systems: advanced architectural mastery of LLM orchestration, tool use/function calling, RAG, agents, prompt engineering, and agentic patterns for enterprise workflows; Math & Operations Research: practical, expert-level application of linear/nonlinear optimization, rigorous statistical analysis, reinforcement learning, and advanced predictive forecasting; Production ML/LLMOps at Scale: extensive experience designing deployment architectures and reliability standards for production-grade AI across AWS Bedrock, Azure AI, or GCP Vertex AI; Software/Data Engineering: Python proficiency, modular API design, creating reusable libraries, advanced SQL, and scalable data integration using PyTorch, TensorFlow, scikit-learn, XGBoost, or Hugging Face; AI Architecture & Security: proven ability to architect secure enterprise cloud environments, with IAM, data governance, global privacy laws, and security standards; Strong presentation skills to internal and external stakeholders, including executives; Flawless English with exceptional executive presence; Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience (preferred)

Benefits

Pioneer Innovation; Ownership from Day 1 with Restricted Stock Units (RSUs) and merit-based refresh grants; 24 weeks of fully paid parental leave for primary carers and 12 weeks for supporting carers, available from the first day of employment; Unlimited PTO (in applicable regions) and generous PTO globally; flexible hybrid work model; 70-20-10 learning framework, mentorship programs, and dedicated learning platform; subsidized Wellhub memberships, mental health counseling, and Wellness Weeks; paid Impact Days for volunteering; Inclusion Think Tank and annual Inclusion Days; mission-led, value-driven organization