Celonis is seeking a Senior Applied AI Solutions Architect (Banking) to solve business-critical problems for strategic customers. You will build solutions that combine the Celonis Process Intelligence platform with AI/ML technologies from partners like Microsoft, OpenAI, and Databricks. Your work will range from rapid prototyping to ensuring successful implementation and adoption to expand Celonis's footprint.
What You'll Do
- Understand customers' AI strategy and business-critical challenges to find problem-solution fits and translate requirements into innovative solutions.
- Rapidly build creative prototypes in customer hackathons using cutting-edge AI technologies to solve business-critical problems.
- Support customers in achieving ROI from AI deployments at scale by enabling a shift to autonomous AI agents powered by the Celonis Process Intelligence Platform.
- Execute end-to-end Proof-of-Value projects, including architecture and delivery of secure, scalable LLM/agent systems with RAG, tools, and guardrails.
- Stay involved with projects until agreed value and adoption thresholds are reached.
- Specialize in domains (e.g., supply chain) or industries to scale knowledge across the organization.
What We're Looking For
- 5+ years of experience leading technical pre-sales, including defining AI roadmaps, building ROI/TCO business cases, and prototyping 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.
- Understanding of business processes across sectors (e.g., Supply Chain, Finance) and ability to translate business needs into AI use cases.
- Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) and data engineering tools.
- Strong presentation skills to internal and external stakeholders, including executives.
- Bachelor’s Degree required; Masters Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred.
Nice to Have
- Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, with safety 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).
Technical Stack
- Python, LangChain, pandas, pydantic, sklearn, PyTorch
- AWS Bedrock, Azure AI, GCP Vertex
- LlamaIndex
Benefits & Compensation
- Generous PTO
- Hybrid working options
- Company equity (RSUs)
- Comprehensive benefits
- Extensive parental leave
- Dedicated volunteer days
- Gym subsidies
- Counseling and well-being programs
Work Mode
This role offers a hybrid work mode.
Celonis is an equal opportunity employer.
