AI Engineer, Startups & Partnerships

Citi

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Jersey City, NJ
Salary
$142,320–$213,480 / yr
Employment
Full-time
Posted
14 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $178k
$125k $236k
below market most similar roles pay here above market

This role pays more than 51% of similar roles. Most pay $147,200–$214,000 — the blue band above. At the midpoint, this role pays about $178k versus about $181k 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 · AI Engineer, Startups & Partnerships

The AI Engineer – Startups & Partnerships joins the Startups & Partnerships team to identify, evaluate, and onboard emerging technologies. This role involves building and shipping production-grade AI applications, pipelines, and workflows that solve real business problems across various lines of business. You will architect and deploy AI-powered tools, run structured proof-of-concepts to assess new models, and prototype working demos quickly. Key technical requirements include full-stack engineering proficiency, applied AI/LLM experience, prompt engineering, and expertise with agentic frameworks and orchestration tools like LangChain, LlamaIndex, or AutoGen. You must integrate LLMs with enterprise APIs and data pipelines. The role focuses on the technical challenge of rapidly adopting frontier AI models and startup tools within a large, regulated global financial institution to deliver end-to-end working solutions.

What does a AI Engineer earn?

Median $211200 from 139 postings across 39 companies.

See salary data

What you'll do

  • Architect, develop, and deploy production-grade AI-powered tools and workflows to solve business problems.
  • Run structured proof-of-concepts and "bake-offs" to assess new models, platforms, and startup tools.
  • Prototype working demos quickly based on stakeholder feedback and iterate at startup speed.
  • Integrate LLMs and agentic systems with enterprise APIs, data pipelines, and front-end layers.
  • Shepherd validated prototypes into production pathways by working with governance and risk teams.
  • Translate technical work into clear narratives for senior business and technology stakeholders.

What we're looking for

  • Must be a full-stack engineer with applied AI/LLM experience rather than a data science or ML research focus.
  • Must have proven experience building and shipping AI applications, pipelines, and workflows in live production environments.
  • Must have hands-on proficiency with LLMs, prompt engineering, and agentic frameworks or orchestration tools like LangChain or LlamaIndex.
  • Must possess strong software engineering fundamentals across the stack, including backend services, API integrations, and front-end tooling.
  • Must have strong communication and stakeholder management skills to work directly with business leaders and clients.
  • Must demonstrate a track record of quickly learning and adopting new tools as the AI landscape evolves.
  • Must be comfortable operating in a large, regulated global institution with a startup-speed mentality.
  • Bachelor’s degree or equivalent experience is required; Master’s degree is preferred.

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