AI Business Analyst (Forward Deployment Engineer)

Citi

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Jersey City, NJ
Salary
$98,960–$148,440 / yr
Posted
17 days ago
Freshness
Confirmed live yesterday
Closes
Sep 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $175k
This role $124k
$85k most similar roles pay here $229k

This role pays less than 83% of similar roles. Most pay $142,375–$207,075 — the shaded band above. At the midpoint, this role pays about $124k versus about $175k 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 255 open roles on FindRole.

Listed pay typically runs $138,720–$208,080 across 237 roles with salary data.

Most-posted roles

View all roles at Citi

At a glance

TL;DR · AI Business Analyst (Forward Deployment Engineer)

AI Business Analyst (Forward Deployment Engineer) is an intermediate-level position within the technology team focused on bridging the gap between business strategy and advanced machine learning engineering. Working as a Forward Deployed Engineer, you will serve as a critical liaison between business users and technical teams to translate complex requirements into scalable AI and GenAI solutions. Your daily responsibilities include defining system scopes, developing custom scripts or workflows, troubleshooting model integration issues, and providing training on prompt engineering and best practices. You will manage the end-to-end implementation process from translating requirement documents to final deployment. The role requires proficiency in Python, SQL, or R, along with expertise in Large Language Models and machine learning workflows. You will solve technical challenges by integrating AI products into existing systems while managing risks related to data privacy and model limitations.

What you'll do

  • Translate complex business requirements into technical specifications for data scientists and machine learning engineers.
  • Manage the end-to-end AI implementation process from requirement gathering to model deployment and integration.
  • Develop custom scripts, integrations, and workflows to tailor AI products to specific business needs.
  • Troubleshoot complex system and model integration issues by evaluating business processes and technical standards.
  • Act as a bridge between business users and engineering teams to relay feedback for the product roadmap.
  • Train and educate internal teams on prompt engineering, model interaction, and operational maintenance.
  • Identify and manage risks related to AI model limitations, data privacy, and ethical considerations.

What we're looking for

  • 4+ years of relevant experience in business analysis, systems integration, or technical consulting.
  • Strong understanding of AI/GenAI technologies, Large Language Models (LLMs), and machine learning workflows.
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, or equivalent experience.
  • Previous programming experience in Python, SQL, or R (preferred).
  • Experience in data analysis with intermediate/advanced Microsoft Office Suite skills.
  • Familiarity with data science methodologies (preferred).
  • Proven interpersonal, data analysis, diplomatic, and prioritization skills to collaborate with technical and non-technical teams.
  • Ability to communicate clearly, concisely, and diplomatically in both written and verbal formats.

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