Job Description
An Applied AI Engineer at Celonis is responsible for developing innovative AI solutions to solve business-critical problems for strategic customers, leveraging process intelligence and AI technologies, and ensuring successful deployment and value realization of AI initiatives.
Key Responsibilities
- Understand customer AI strategies and translate requirements into innovative AI solutions.
- Rapidly prototype AI solutions using cutting-edge technologies for customer hackathons.
- Support customers in achieving ROI from AI deployments and enable business process transformation.
- Execute end-to-end Proof-of-Value projects, including architecture, integration, and ensuring secure, scalable AI systems.
- Maintain involvement in projects until value adoption thresholds are met and ensure successful project outcomes.
Requirements
- 5 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 in computer science, engineering, mathematics or related fields, or equivalent work experience.
- 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.
- Ability to stay involved with projects until agreed value adoption thresholds are reached.
- Experience in building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails (preferred but not mandatory).
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages (preferred but not mandatory).
- Experience in deploying and monitoring models at scale across major cloud platforms such as AWS Bedrock, Azure AI, or GCP Vertex.
Benefits & Perks
Base salary range: $131,000 - $154,000 USD (for New York location)
Total compensation package including bonus, commission, equity, and benefits
Hybrid working options
Generous paid time off (PTO)
Company equity RSUs
Comprehensive benefits (health, dental, life, 401k)
Extensive parental leave
Dedicated volunteer days
Gym subsidies
Counseling and well-being programs
Internal mobility and mentorship opportunities
Clear career paths
Learning programs
Community and inclusion programs
Ready to Apply?
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