Senior Value Engineer - Banking
CelonisLocation not specified
Full Time
Posted June 8, 2026
$131k - $154k
Climate Technology
Visa Sponsored
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Job Description
At Celonis, we believe our people make us who we are and that “The Best Team Wins”.
Key Responsibilities
- AI Discovery & Solutioning: Understand the clients' overarching AI strategies and the distinct challenges inherent to Banking (e.g., fraud detection, credit risk assessment, and automating KYC/AML). Translate complex financial workflows into innovative AI solutions that drive measurable ROI.
- Pre- and Post-Sales Execution: Actively drive the customer lifecycle. Lead technical discovery and capability demonstrations during the expansion cycle. Remain deeply involved post-sale to guide implementation, ensuring efficiency and adoption thresholds are met.
- Hackathons & Prototyping: Think creatively to tackle heavily siloed legacy core-banking systems. Leverage cutting-edge AI to rapidly build prototypes in client hackathons, solving pain points across Settlements, Reconciliations, and Payments.
- Agentic Process Transformation: Support enterprise clients in shifting from rule-based automation to autonomous AI agents. Enable "intelligent" banking processes, such as autonomous exception handling in Trade Ops or automated Complaints Management .
- Proof Projects: Execute end-to-end Business-critical Proof-of-Value projects. Architect secure, scalable LLM/agent systems (with RAG and guardrails) that integrate with complex enterprise stacks like SAP Banking, Salesforce FINS, or core-banking ledgers.
- Domain Practitioner Leadership: Serve as a functional subject matter expert for the Banking value chain, scaling knowledge across the organization regarding the nuances of financial operations and transaction lifecycles.
Requirements
- 5+ years of experience leading technical pre-sales and post-sales engagements specifically within complex Banking or Financial Services environments. This includes building ROI business cases and guiding technical implementations.
- Strong Domain Knowledge: Deep familiarity with the banking value chain, with the ability to translate operational needs into AI use cases across:
- Expertise in Generative AI Techniques: Knowledge of RAG, prompt engineering, and multi-agent orchestration used to build high-impact use cases (e.g., intelligent compliance assistants or automated data extraction from complex trade documentation).
- Technical Fluency: Solid knowledge of Python and common ML/Data libraries (e.g., pandas, LangChain) as well as SQL for handling massive, high-velocity transactional datasets.
- Communication: Strong presentation skills to both internal and external stakeholders, from technical whiteboarding with IT to formal demos for Banking Directors.
- Degree: Bachelor’s Degree required; Master's Degree in Finance, Computer Science, Economics, or Mathematics preferred.
- Agentic Systems: Hands-on experience building systems using LLM orchestration and function calling within highly regulated "Data Sovereignty" environments.
- Banking Systems: Familiarity with FSI-specific platforms (e.g., nCino, Guidewire, FIS, Fiserv, or Bloomberg).
- Cloud Platforms: Experience deploying models across major cloud providers (Azure AI, AWS Bedrock, GCP Vertex).
- Visa sponsorship is not offered for this role.
- The base salary range below is for the role in the specified location, based on a Full Time Schedule. Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.
- The base salary range below is for the role in New York, based on a Full Time Schedule.
- $131,250
- —
- $153,750 USD
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