Senior AI/AML Engineer, Vice President

Citi

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Irving, TX
Salary
$138,720–$208,080 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $194k
This role $173k
$127k $247k
below market most similar roles pay here above market

This role pays less than 55% of similar roles. Most pay $153,187–$235,750 — the blue band above. At the midpoint, this role pays about $173k versus about $194k 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 271 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 253 roles with salary data.

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At a glance

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

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 input and output validation, integrating AI solutions with enterprise APIs, and designing real-time pipelines using REST APIs, streaming, and WebSockets. The engineer must ensure compliance with risk, governance, and regulatory standards while partnering with Risk and Compliance teams for MRM validation. Required technical skills include Python, backend development, RAG, and microservices architecture. The work focuses on solving complex problems within financial services, specifically regarding AML systems, financial crime detection, and compliance workflows in a regulated environment.

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.
  • Partner with Risk and Compliance teams to support MRM validation and approvals.
  • Lead end-to-end delivery of AI solutions from initial concept through production deployment.
  • Ensure observability, monitoring, and performance optimization of all AI systems.

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) for building and orchestrating agents.
  • Hands-on experience with LangChain or similar LLM frameworks and LLM/GenAI systems (RAG, agents, tool chaining).
  • Proven experience delivering production-grade systems in enterprise environments.
  • Strong understanding of API integration, distributed systems, and microservices architecture.
  • Experience working in regulated industries (Financial Services preferred).
  • Familiarity with LLM platforms such as Gemini, OpenAI, or Vertex AI (preferred).
  • Knowledge of AML systems, financial crime detection, or compliance workflows (preferred).
  • Experience implementing AI guardrails, evaluation frameworks, and observability tools (preferred).
  • Exposure to real-time AI systems (voice, streaming, event-driven architectures) (preferred).
  • Experience with cloud platforms (GCP, AWS, Azure) (preferred).

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