Senior Value Engineer - Asset & Wealth Management

What you'll do

• Translate banking workflows and client AI strategies into measurable-ROI solutions; lead technical discovery and demonstrations before and after sale.
• Build prototypes and end-to-end Proof-of-Value projects, including secure LLM/agent systems, and guide implementation and adoption.
• Advise clients on agentic process transformation and serve as a banking value-chain subject matter expert.

What they ask for

• 5+ years leading technical pre-sales and post-sales engagements in complex Banking or Financial Services environments, including ROI business cases and technical implementations.
• Deep familiarity with banking operations and value chains, including lending/onboarding, capital markets, and support/governance.
• Knowledge of RAG, prompt engineering, and multi-agent orchestration.
• Solid knowledge of Python, common ML/Data libraries such as pandas and LangChain, and SQL; strong stakeholder presentation skills.

Nice to have

• Master's Degree in Finance, Computer Science, Economics, or Mathematics.
• Hands-on LLM orchestration and function calling in regulated data-sovereignty environments; familiarity with FSI platforms or cloud platforms such as Azure AI, AWS Bedrock, or GCP Vertex.

Pay

$157,000 — $183,000 USD (base salary)

Tools

Python, pandas, LangChain, SQL, RAG, SAP Banking, Salesforce FINS, Azure AI

AI focus

Build and prototype GenAI and agentic banking solutions, including RAG/guardrailed LLM systems, multi-agent orchestration, and autonomous process automation.