# Lead Applied Value Engineer

**Company:** [Celonis](https://hotfix.jobs/companies/celonis)
**Location:** Remote
**Role:** Solutions Architecture
**Experience:** 7+ years
**Skills:** Python, SQL, LLMs, Retrieval-Augmented Generation, Prompt Engineering, Aws Bedrock, Azure Ai, Google Cloud Vertex Ai, PyTorch, TensorFlow, scikit-learn, Xgboost, Hugging Face, IAM, Data Governance
**Posted:** 2026-07-31

> Leads strategic customer engagements by architecting and prototyping secure, production-grade AI solutions, guiding Proof-of-Value projects, and demonstrating business impact to executives. Requires 7+ years in executive-facing presales or value engineering plus deep expertise in agentic AI, ML operations, optimization, and enterprise architecture.

## Job Description

## Responsibilities

### Discovery & Advanced AI Solutioning
- Act as a Celonis product and domain positioning expert.
- Translate customer requirements and domain expertise into enterprise architecture.
- Lead technical discovery to architect, prototype, and build bespoke AI solutions for operational challenges.

### AI Solution Development
- Lead end-to-end high-stakes Proof-of-Value projects.
- Architect and deliver secure, scalable LLM and agent systems with advanced RAG, tool use, and strict guardrails.
- Integrate AI solutions with enterprise data, identity, and compliance frameworks.

### Value Selling & Realization
- Serve as a trusted advisor to strategic accounts.
- Drive value realization, adoption, and operational transformation through agreed-upon outcomes.
- Present business impact and visionary AI solutions to C-suite executives.

### Domain & Industry Specialization
- Apply domain expertise and cross-system, AI-driven solutioning to industry-specific end-to-end solutions.
- Codify solutions into reusable methodologies and globally scalable assets.
- Mentor junior peers.

## Requirements
- 7+ years of experience in executive-facing presales and value engineering.
- Experience owning technical closes, leading AI transformation narratives, executing Proof-of-Value projects, modeling ROI/TCO, and driving projects through achieved value.
- Comprehensive knowledge of operational workflows and industry landscapes, such as supply chain and finance.
- Advanced architecture expertise in LLM orchestration, tool use/function calling, retrieval-augmented generation, agents, prompt engineering, and enterprise agentic patterns.
- Expert practical application of linear and nonlinear optimization, statistical analysis, reinforcement learning, and predictive forecasting.
- Experience designing production ML/LLMOps deployment architectures and reliability standards across AWS Bedrock, Azure AI, and Google Cloud Vertex AI.
- Python proficiency, modular API design, reusable library development, advanced SQL, and scalable data integration.
- Experience with PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face.
- Ability to architect secure enterprise cloud environments and follow IAM, data governance, privacy, and security standards.
- Strong presentation skills for executive stakeholders, including whiteboarding sessions, formal readouts, and product demonstrations.
- Flawless English and exceptional executive presence.
- Master's degree in computer science, engineering, mathematics, or a related field, or equivalent work experience preferred.

## Benefits
- Restricted Stock Units and merit-based refresh grants for full-time employees.
- Paid parental leave: 24 weeks for primary carers and 12 weeks for supporting carers.
- Unlimited PTO in applicable regions and generous global PTO.
- Flexible hybrid work model.
- Learning framework, mentorship programs, and dedicated learning platform.
- Subsidized Wellhub memberships, mental health counseling, and Wellness Weeks.
- Paid time off for annual community and environmental volunteering.
- Inclusion and belonging programs.
- Mission-led culture focused on customer value, teamwork, ownership, and sustainability.

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