Senior AI/Python Engineer Vice President

Citi

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Jersey City, NJ
Salary
$142,320–$213,480 / yr
Posted
25 days ago
Freshness
Confirmed live 2 days ago
Closes
Sep 28, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k
This role $178k
$130k most similar roles pay here $259k

This role pays less than 54% of similar roles. Most pay $157,200–$246,150 — the shaded band above. At the midpoint, this role pays about $178k versus about $202k 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 256 open roles on FindRole.

Listed pay typically runs $140,080–$210,120 across 238 roles with salary data.

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View all roles at Citi

At a glance

TL;DR · Senior AI/Python Engineer Vice President

Sr. AI/Python Engineer-Vice President joins the Tech team as a senior technical lead focused on building next-generation intelligent financial systems. This role involves architecting, constructing, and maintaining scalable backend systems to power machine learning initiatives while bridging the gap between data science and production-ready environments. The successful candidate will design robust pipelines, manage the full system change lifecycle, and mentor others in developing resilient infrastructure. Key technical requirements include expert-level Python and Jupyter Notebook scripting, alongside experience with Scikit-learn, Keras, TensorFlow, PyTorch, RAGAs, DsPy, and Large Language Models. The role utilizes MLOps tools like MLFlow, Dagster, and Vertex AI, along with databases such as Oracle, MySQL, PostgreSQL, and MongoDB. Additional technologies include Kafka, PySpark, Hive, Hadoop, Docker, OpenShift, FastAPI, Flask, NGINX, and various CI/CD and orchestration tools to solve complex financial data challenges.

What you'll do

  • Architect, construct, and maintain scalable backend systems that power machine learning initiatives.
  • Design and deploy robust, enterprise-grade pipelines to integrate data science models into core applications.
  • Act as a technical bridge between data scientists, front-end engineers, and business leaders.
  • Lead the end-to-end system change lifecycle from requirements gathering and scoping to deployment and support.
  • Mentor and develop emerging talent in best practices for building scalable and resilient systems.
  • Translate complex technical concepts into actionable insights for cross-functional stakeholders and business leaders.
  • Execute advanced data mining and analytical procedures to optimize operational processes and ensure data integrity.
  • Ensure all machine learning systems comply with applicable laws, regulations, and corporate risk policies.

What we're looking for

  • Bachelor's or Master's degree in a technology-related discipline or equivalent professional experience.
  • 7+ years of professional experience implementing data-intensive, large-scale ML solutions with technical leadership and agile methodologies.
  • Expert-level proficiency in Python and Jupyter Notebook scripting.
  • Proficiency in machine learning frameworks including Scikit-learn, Keras, TensorFlow, PyTorch, and advanced NLP/Generative AI tools.
  • Experience with MLOps platforms such as MLFlow, Dagster, and Google Cloud Vertex AI.
  • Proficiency in database management systems including Oracle, MySQL, PostgreSQL, and MongoDB.
  • Experience with infrastructure and DevOps tools including CI/CD pipelines, Docker, OpenShift, and Amazon ECS.
  • Experience with data engineering tools including Kafka, PySpark, Hive, Hadoop, and various file formats like Avro and Parquet.

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