Senior Lead Python Engineer, Applications Development Group Manager

Citi

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Rutherford, NJ
Salary
$176,720–$265,080 / yr
Posted
93 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $216k
This role $221k
$166k most similar roles pay here $276k

This role pays less than 51% of similar roles. Most pay $184,900–$246,150 — the shaded band above. At the midpoint, this role pays about $221k versus about $216k 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 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 Lead Python Engineer, Applications Development Group Manager

Senior Lead Python Engineer - Applications Development Group Manager - C14 - RUTHERFORD serves as a senior leader within the Retail and Wealth Risk Engineering organization. This role involves leading multiple agile scrum teams to define strategy, architecture, and execution for enterprise-scale AI agent platforms, Python-based data ecosystems, and full-stack solutions. The manager will oversee the development of high-volume data pipelines, microservices-based applications, and GenAI agent ecosystems while ensuring compliance with regulatory programs like CCAR and FDIC. Key technical requirements include expertise in Python, PySpark, Databricks, Kafka, FastAPI, Spring Boot, Kubernetes, and OpenShift. The role also focuses on implementing AI Product Development Lifecycle practices using tools such as Devin.AI and GitHub Copilot. The work addresses critical risk analytics and regulatory reporting challenges within the retail banking and wealth management domains through scalable engineering solutions.

What you'll do

  • Lead multiple agile scrum teams of engineers, including those utilizing AI-assisted development tools like Devin.AI and GitHub Copilot.
  • Define and execute enterprise strategies for Python engineering, GenAI agent platforms, and full-stack data applications.
  • Serve as the primary technical authority for architecting scalable microservices, data pipelines, and LLM-based agent ecosystems.
  • Operationalize the AI Product Development Lifecycle (AI PDLC) including model governance, evaluation, and regulatory compliance.
  • Develop high-volume data pipelines using PySpark, Databricks, and Kafka to support regulatory reporting like CCAR and FDIC.
  • Implement Human-in-the-Loop frameworks for GenAI systems to ensure explainability, auditability, and safety.
  • Translate complex regulatory and business requirements from Risk and Finance stakeholders into scalable technical solutions.
  • Establish engineering standards, governance frameworks, and best practices to ensure consistency across all development teams.

What we're looking for

  • Bachelor's degree or equivalent experience required; Master's degree preferred.
  • 12+ years of relevant experience in enterprise application development, data engineering, or AI platform engineering.
  • 8+ years of experience leading multi-team Agile organizations including distributed and hybrid AI-assisted teams.
  • Advanced expertise in Python, PySpark, and the Databricks ecosystem for large-scale data processing.
  • Proven experience architecting GenAI platforms, agentic AI frameworks, LLM integrations, and prompt engineering.
  • Hands-on experience with AI-assisted development tools like Devin.AI and GitHub Copilot.
  • Strong experience with microservices, APIs, cloud-native deployment (Kubernetes/OpenShift), and Kafka.
  • Deep understanding of data architecture, data mesh, and regulatory data requirements for CCAR and FDIC reporting.

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