Applied Value Engineer

Celonis • Redwood City, CA

5d • Hybrid

About The Position

As an Applied AI Engineer, you will be at the forefront of solving business-critical problems for Celonis' most strategic customers. You will work closely with these clients to understand their objectives and challenges, developing innovative solutions using the Celonis Process Intelligence (PI) platform and integrating with leading AI/ML partners like Microsoft, OpenAI, and Databricks. The role involves feeding operational context to AI through the PI platform, enabling customers to industrialize AI, achieve real ROI, and scale AI deployments. You will prototype solutions, demonstrate their value to executives, and ensure successful implementation and adoption to expand Celonis' footprint within these accounts.

Requirements

• 7+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
• Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
• Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• Good 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 (including executives), whether whiteboarding sessions or formal readouts and demos.
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.

Nice To Haves

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex).

Responsibilities

• Understand customers AI strategy and business critical challenges.
• Find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle.
• Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems.
• Support customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform.
• End-to-end execution of business-critical Proof-of-Value projects, including architecture and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
• Ensure projects reach agreed value & adoption thresholds.
• Specialize in domains (e.g., supply chain) and industries to scale knowledge across the organization.

Benefits

• health, dental, life, 401k, and paid time off
• Restricted Stock Units (RSUs) and merit-based refresh grants
• 24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers
• Unlimited PTO (in applicable regions) and generous PTO globally
• flexible hybrid work model
• 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform
• subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks"
• paid time off to volunteer for community and environmental causes

What This Job Offers

• Job Type: Full-time
• Career Level: Senior