Agentic AI Risk Intelligence Lead

Talenzon group; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading finance and fintech company in New York seeks an Agentic AI Risk Intelligence Lead for a 12-month project. The role involves designing multi-agent AI systems for risk analytics, fraud detection, and compliance. The ideal candidate has over 5 years of experience in AI/ML engineering within finance and hands-on experience with LLM frameworks. U.S. work authorization is required, and visa sponsorship is not available.

Qualifications

• 5+ years of experience in AI/ML engineering or risk technology within finance.
• Hands-on experience with LLM frameworks.
• Strong understanding of financial risk and fraud detection.
• Excellent communication skills in English.

Responsibilities

• Design multi-agent AI systems for risk analysis and fraud detection.
• Develop LLM-driven agents for transaction monitoring.
• Collaborate with stakeholders on regulatory needs and compliance.
• Implement AI governance and model transparency.
• Lead prototyping of RAG pipelines and anomaly detection models.

Skills

AI/ML engineering

Risk technology

Python

LLM frameworks

Financial risk analysis

Communication skills

Tools

LangChain

Python

Azure OpenAI

AWS Bedrock

GCP Vertex AI

Job description

# Agentic AI Risk Intelligence Lead,November 16, 2025### Job Description**On behalf of our client, we are seeking an Agentic AI Risk Intelligence Lead – New York, USA (12-Month Project, On-site)**Our client, a major player in the **Finance & Fintech sector**, is seeking a **Agentic AI Risk Intelligence Lead** to design and deploy advanced multi-agent AI systems for risk analytics, fraud detection, compliance automation, and real-time decision intelligence across trading and financial operations. This role sits at the intersection of **Quant/Finance**, **AI Engineering**, and **Enterprise Risk Technology**, supporting high-stakes business functions in one of NYC’s leading financial ecosystems.### **Key Responsibilities*** **Design and orchestrate multi-agent AI systems** for risk analysis, AML, fraud detection, and operational intelligence.* Develop **LLM-driven agents** capable of monitoring transactions, regulatory updates, behavioral anomalies, and market signals.* Build **real-time agentic workflows** integrating with trading systems, risk engines, data lakes, and compliance tools.* Collaborate with risk officers, quant teams, data engineering, and security stakeholders to align capabilities with regulatory and operational needs.* Implement **AI governance, auditability, and model transparency** frameworks required in financial environments.* Lead prototyping of **RAG pipelines**, anomaly detection models, and automated alert triage.* Mentor AI engineers and data scientists on best practices in agentic design for financial systems.### **Key Requirements*** 5+ years of experience in **AI/ML engineering or risk technology** within finance, fintech, or trading environments.* Hands-on experience with **LLM frameworks** (LangChain, AutoGPT, CrewAI, OpenDevin, etc.).* Strong understanding of **financial risk, fraud detection, AML/KYC, regulation, or compliance analytics**.* Advanced Python skills, experience with vector databases, RAG, and real-time data processing.* Familiarity with cloud AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI).* Ability to work closely with quant teams and risk stakeholders in a fast-paced, regulated domain.* Excellent communication skills in English.### **Eligibility / Work Authorization** **U.S. work authorization required (Citizen, Green Card, or existing eligible visa).** *Visa sponsorship is not available for this role.*### **Additional Information** **Location:** On-site, New York, USA **Duration:** 12-Month Contract **Start Date:** ASAPLocation,Experience levelMid–Senior level## Work Location