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
Posted
15 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $209k
This role $178k
$128k most similar roles pay here $277k

This role pays less than 70% of similar roles. Most pay $172,000–$246,150 — the shaded band above. At the midpoint, this role pays about $178k versus about $209k 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 Generative AI Engineer

Senior Generative AI Engineer As part of the COO-Technology Engineering and Architecture team, you will serve as an individual contributor focused on building robust, scalable products to enhance enterprise operations. You will design, build, and deploy real-world production systems rather than just proofs-of-concept, specifically focusing on intelligent agents that automate complex workflows and reduce operational risk. Your daily work involves developing sophisticated applications using Python, implementing RAG and transformer architectures, and managing data layers optimized for AI workloads. You will utilize tools such as LangChain, LangGraph, and Google ADK while deploying solutions within OpenShift environments. The role requires expertise in containerized deployments, CI/CD practices, and the integration of LLMs to solve complex business problems. You will also ensure responsible AI by implementing guardrails and ethical considerations into all production-ready systems.

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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