Senior AI/AML Engineer, Vice President

Citi

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Jersey City, NJ
Salary: $142,320–$213,480 / yr
Employment: Full-time
Posted: 5 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $195k

This role $178k

$129k $247k

below market most similar roles pay here above market

This role pays more than 52% of similar roles. Most pay $154,637–$235,750 — the blue band above. At the midpoint, this role pays about $178k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 277 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 257 roles with salary data.

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View all roles at Citi

At a glance

TL;DR · Senior AI/AML Engineer, Vice President

Role Posting Log in to save

The Senior AI/AML Engineer, Vice President joins the Citi Wealth team to design, implement, and scale enterprise-grade GenAI and agent-based solutions. This role involves building LLM-powered applications and multi-agent orchestration systems using frameworks like LangChain and ADK. Key responsibilities include developing robust guardrails for safe AI behavior, integrating solutions with enterprise APIs, and designing real-time pipelines using REST APIs, streaming, and WebSockets. The candidate must utilize Python for backend development while ensuring compliance with risk, governance, and regulatory standards. The work focuses on solving technical problems within financial services, specifically regarding AML systems, financial crime detection, and compliance workflows. Required expertise includes RAG, tool chaining, distributed systems, and microservices architecture to support MRM validation and production deployment of AI systems.

Skills

Python LangChain ADK GenAI LLM RAG REST APIs Microservices GCP AWS Azure Vertex AI OpenAI Gemini WebSockets Distributed Systems Observability

What you'll do

Design and develop LLM-powered applications and agentic systems using LangChain and ADK.
Build and manage multi-agent orchestration, tool chaining, and workflow automation.
Develop robust guardrails for input and output validation to ensure compliant AI behavior.
Integrate AI solutions with enterprise APIs, data platforms, and internal systems.
Design real-time and asynchronous AI pipelines using REST APIs, streaming, and WebSockets.
Lead end-to-end delivery of AI solutions from initial concept through production deployment.
Ensure observability, monitoring, and performance optimization of all AI systems.
Drive best practices and reusable frameworks for enterprise AI engineering.

What we're looking for

Bachelor’s degree in Computer Science, Engineering, or a related field.
3+ years of experience in AI/ML engineering.
6+ years of overall engineering experience.
Strong proficiency in Python and backend development.
Hands-on experience with ADK (Agent Development Kit) and LangChain or similar LLM frameworks.
Proven experience delivering production-grade LLM/GenAI systems (RAG, agents, tool chaining) in enterprise environments.
Strong understanding of API integration, distributed systems, and microservices architecture.
Experience working in regulated industries (Financial Services preferred).

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