VP Senior AI AML Engineer

Citi

Remote

Quick summary

Work type: Remote
Location: Irving, TX
Salary: $125,760–$188,640 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $209k

This role $157k

$110k most similar roles pay here $271k

This role pays less than 85% of similar roles. Most pay $170,995–$246,150 — the shaded band above. At the midpoint, this role pays about $157k versus about $209k 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 329 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 308 roles with salary data.

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At a glance

TL;DR · VP Senior AI AML Engineer

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Citi Wealth is hiring a Senior AI/AML Engineering hands-on senior engineer to design and implement enterprise-grade GenAI and agent-based solutions using modern frameworks like ADK and LangChain. This role involves developing LLM-powered applications and agentic systems, managing multi-agent orchestration, and ensuring compliance with regulatory standards while integrating AI solutions with enterprise APIs and data platforms. The candidate will lead end-to-end delivery of AI projects from concept to production, providing technical leadership and mentorship to engineering teams. Essential skills include Python proficiency, experience with ADK and LLM frameworks, and a strong understanding of financial services, AML, and enterprise controls. Preferred candidates have additional expertise in multi-agent systems, real-time AI, and cloud platforms like GCP or AWS.

Skills

Python ADK (Agent Development Kit) LangChain LLM / GenAI systems RAG API integration distributed systems microservices architecture multi-agent systems GCP AWS Azure AML systems financial crime detection compliance workflows AI guardrails evaluation frameworks observability tools real-time AI systems

What you'll do

Design and develop LLM-powered applications using ADK and LangChain frameworks.
Build multi-agent orchestration systems for workflow automation and tool chaining.
Develop robust guardrails to ensure safe and compliant AI behavior in financial services.
Integrate AI solutions with enterprise APIs, data platforms, and internal systems securely.
Lead end-to-end delivery of AI solutions from concept through production deployment.

What we're looking for

Over 3 years of AI/ML engineering experience and overall 6+ years in software engineering.
Proficient in Python and backend development with hands-on ADK and LangChain experience.
Proven track record delivering production-grade systems in enterprise environments.
Strong understanding of API integration, distributed systems, microservices architecture.
Experience working in regulated industries, preferably financial services or AML compliance.

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