Senior Generative AI Engineer

Citi

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$142,320–$213,480 / yr
Employment
Full-time
Posted
18 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k
This role $178k
$130k $254k
below market most similar roles pay here above market

This role pays less than 62% of similar roles. Most pay $162,000–$241,750 — the blue band above. At the midpoint, this role pays about $178k versus about $202k 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 268 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 251 roles with salary data.

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View all roles at Citi

At a glance

TL;DR · Senior Generative AI Engineer

JOB TITLE: Senior Generative AI Engineer The Senior Generative AI Engineer joins the COO-Technology Engineering and Architecture capability to build intelligent solutions for global enterprise operations. This hands-on individual contributor role focuses on designing, building, and deploying commercial production systems rather than just proofs-of-concept. You will develop sophisticated applications, LLM-powered solutions, and intricate agentic frameworks to automate complex business processes and reduce operational risk. Key responsibilities include implementing RAG, managing containerized deployments in OpenShift, and ensuring engineering excellence through CI/CD and robust testing. You will utilize Python, LangChain, LangGraph, and Google ADK while exploring transformer architectures. The role requires expertise in data layers optimized for AI/ML workloads and the ability to implement ethical guardrails for responsible AI within a high-scale enterprise environment.

What you'll do

  • Develop and deploy production-grade Generative AI applications and LLM-powered solutions using Python.
  • Build intelligent agents to automate complex enterprise workflows and reduce operational risk.
  • Design data layers optimized for RAG workloads and advanced transformer architectures.
  • Manage and deploy large-scale AI systems within containerized environments like OpenShift.
  • Implement robust guardrails and ethical considerations to ensure responsible AI deployment.
  • Maintain high engineering standards through clean code, rigorous testing, and CI/CD practices.
  • Research and integrate emerging LLM frameworks such as LangChain and LangGraph into production systems.

What we're looking for

  • 6+ years of software engineering experience with expert-level Python programming.
  • 6-10 years of relevant experience in applications development or systems analysis roles.
  • Hands-on experience with LLMs, RAG, transformer architectures, and frameworks like LangChain, LangGraph, and Google ADK.
  • Proven track record of deploying and managing large-scale AI/ML systems in production using container technologies like OpenShift.
  • Ability to design data layers optimized for AI/ML and RAG workloads.
  • Demonstrated leadership, project management skills, and the ability to manage and implement successful projects.
  • Strong grasp of clean code, data structures, algorithms, and distributed systems.
  • Clear and concise written and verbal communication skills.

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