AI Lead, Client Technology - SVP

Citi

Remote Hybrid

Quick summary

Work type: Remote
Location: New York, NY
Salary: $176,720–$265,080 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $215k

This role $221k

$160k most similar roles pay here $276k

This role pays more than 62% of similar roles. Most pay $184,525–$245,225 — the shaded band above. At the midpoint, this role pays about $221k versus about $215k for comparable roles.

Based on 239 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 380 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 354 roles with salary data.

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View all roles at Citi

At a glance

TL;DR · AI Lead, Client Technology - SVP

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Join our dynamic AI team as an experienced AI Lead to design and deploy advanced intelligent agents and generative AI solutions that automate complex tasks and optimize workflows across various domains. You will develop scalable architectures, integrate machine learning models using APIs from platforms like OpenAI and Anthropic, and lead a small team in delivering robust production systems with rapid prototyping and iterative improvement. This role requires expertise in Python (FastAPI, Django), Java (Spring Boot), JavaScript (React, Next.js), and proficiency in AI frameworks such as LangChain and AutoGen, along with experience in containerization tools like Docker and Kubernetes. Ideal candidates have a background in finance and a strong track record of launching multiple AI features in production.

Skills

Python FastAPI Django Flask PySpark Java Spring_Boot React Next_js Node_js TensorFlow PyTorch Scikit_Learn NumPy Pandas LangChain AutoGen Kubernetes Docker CI/CD Git Agile Microservices Event_Driven_Architecture API_First_Design

What you'll do

Design and implement intelligent agents with perception, reasoning, planning, and action execution modules.
Develop scalable architectures for agentic systems and generative AI applications to ensure high performance and reliability.
Integrate machine learning models and LLMs to enhance agent capabilities and decision-making processes.
Automate complex tasks and optimize workflows using developed agents across various domains.
Rapidly prototype and iteratively improve AI solutions, focusing on quick iterations and measurable business value.
Evaluate and continuously optimize agent behavior through the design of performance metrics and evaluation strategies.

What we're looking for

10+ years of software engineering experience with a focus on AI and rapid delivery.
Strong proficiency in Python (FastAPI, Django, Flask) and JavaScript (React, Node.js).
Expertise in machine learning frameworks like TensorFlow and PyTorch, and familiarity with LLMs.
Experience in designing scalable architectures for agentic systems and generative AI applications.
Proficiency in software development best practices including CI/CD pipelines and agile methodologies.
Knowledge of containerization tools such as Docker and Kubernetes.
Ability to lead technical teams and manage small AI initiatives.

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