Lead Applied Value Engineer

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.

About the job

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.

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