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Celonis

Process intelligence platform for end-to-end efficiency

Senior Value Engineer - Banking

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 5 years of experience leading technical pre-sales and post-sales engagements in complex Banking or Financial Services environments, including building return-on-investment business cases and guiding technical implementations.
  • Strong familiarity with the banking value chain and ability to translate operational needs into AI use cases across lending and onboarding, including Loan Origination and KYC/AML; capital markets, including Sales and Trading Operations, Settlements, Reconciliations, and Custody Services; and support and governance, including Finance, Risk and Controls, and Regulatory/Transaction Reporting.
  • Knowledge of Retrieval-Augmented Generation (RAG), prompt engineering, and multi-agent orchestration for generative AI use cases.
  • Solid knowledge of Python, common machine-learning and data libraries such as pandas and LangChain, and SQL for large, high-velocity transactional datasets.
  • Strong presentation skills for internal and external stakeholders, including technical whiteboarding with IT and formal demonstrations for banking directors.
  • Bachelor’s degree required.

Responsibilities

  • Understand clients’ overarching AI strategies and banking-specific challenges, and translate complex financial workflows into AI solutions that drive measurable return on investment.
  • Drive the customer lifecycle by leading technical discovery and capability demonstrations during expansion cycles, then guiding post-sale implementation to meet efficiency and adoption thresholds.
  • Build prototypes using AI in client hackathons to address siloed legacy core-banking systems and pain points across Settlements, Reconciliations, and Payments.
  • Support enterprise clients in transitioning from rule-based automation to autonomous AI agents, enabling processes such as autonomous exception handling in Trade Operations and automated Complaints Management.
  • Execute end-to-end, business-critical Proof-of-Value projects; architect secure, scalable large language model and agent systems with RAG and guardrails that integrate with enterprise systems such as SAP Banking, Salesforce FINS, and core-banking ledgers.
  • Serve as a functional subject-matter expert for the banking value chain and scale organizational knowledge of financial operations and transaction lifecycles.

Desired Qualifications

  • Master’s degree in Finance, Computer Science, Economics, or Mathematics.
  • Hands-on experience building agentic systems using large language model orchestration and function calling in highly regulated data-sovereignty environments.
  • Familiarity with financial-services platforms such as nCino, Guidewire, FIS, Fiserv, or Bloomberg.
  • Experience deploying models on major cloud platforms, including Azure AI, AWS Bedrock, or GCP Vertex.

About the Company

Celonis

Process intelligence platform for end-to-end efficiency

Celonis builds a Process Intelligence platform that creates a digital twin of an organization's end-to-end processes by collecting data from multiple systems to map how work actually flows. Users from different departments can see bottlenecks, inefficiencies, and improvement opportunities in a system-agnostic view, enabling cross-functional collaboration. Its business model charges customers for platform usage and aims to help organizations accelerate digital transformation and achieve cost savings. Its goal is to help organizations streamline operations and realize measurable efficiency gains through data-driven process improvements.

Company size
1,001-5,000
Company stage
Series D
Total funding
$2.4B
Headquarters
Munich, Germany
Founded
2011

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