Gen AI Engineer

Citi

Quick summary

Work type: On-site
Location: NY
Salary: $142,320–$213,480 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k

This role $178k

$131k most similar roles pay here $247k

This role pays less than 56% of similar roles. Most pay $157,000–$235,750 — the shaded band above. At the midpoint, this role pays about $178k versus about $196k 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.

Most-posted roles

View all roles at Citi

At a glance

TL;DR · Gen AI Engineer

Role Posting Log in to save

The Applications Development Senior Manager is a senior-level position within the Data & AI Engineering team at Citi, responsible for leading and managing teams to develop machine learning-powered tools and data products that address complex data quality issues across global operations. This hands-on role involves designing ML models and pipelines, developing automation tools, and building internal APIs to expose ML capabilities to business users. Key responsibilities include collaborating with stakeholders to translate requirements into production-ready solutions, implementing MLOps best practices, and continuously monitoring model performance. The ideal candidate has 6-10 years of experience in the financial services industry, proficiency in Python and Java, expertise with ML frameworks like scikit-learn and TensorFlow, and knowledge of large-scale data platforms such as Spark and Snowflake. Additional skills include REST API development, Git, and unit testing, along with familiarity with NLP, LLMs, and data quality frameworks.

Skills

Python Java scikit-learn PyTorch TensorFlow VertexAi SQL Spark Databricks Snowflake REST API Git unit testing code review CI/CD MLOps Prometheus Grafana NLP LLMs

What you'll do

Design and build machine learning models to detect and resolve data quality issues.
Develop automation tools to eliminate manual effort in data reconciliation workflows.
Build internal data products and APIs exposing ML capabilities to business users.
Train, fine-tune, and optimize AI models for complex data quality solutions.
Implement CI/CD practices for ML projects including model versioning and monitoring.

What we're looking for

6-10 years of experience in financial services or a regulated industry
Expertise in Python and Java for developing machine learning models and pipelines
Proficiency with ML frameworks like scikit-learn, PyTorch, TensorFlow, and VertexAI
Strong background in data processing using SQL, Spark, Databricks, Snowflake, or similar platforms
Experience in building automation tools and internal data products with REST APIs
Deep knowledge of algorithms and mathematics for training and optimizing AI models

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