Gen AI Engineering VP: Lead AI Systems

Citi; New York (NY); Hybrid; USD 114,000 - 171,000; Full time

Job summary

Citi is seeking a Gen AI Engineering Analyst at Vice President level in Jacksonville, FL. The role leads AI/ML applications, APIs, and data platforms with cross‑functional teams to deploy scalable solutions. Strong cloud and NLP experience is valued.

Responsibilities include guiding architecture, modeling, and deployments, mentoring juniors, and ensuring risk controls and regulatory alignment across programs. Hybrid work, competitive package included.

Qualifications

• 6+ years of Apps Development or systems analysis.
• Hands-on experience with ML frameworks and NLP libraries.
• Experience designing, building, and consuming APIs and web services.
• Knowledge of data processing and visualization tools.
• Cloud deployment experience on AWS/Azure/GCP and cloud AI services.

Responsibilities

• Lead applications systems analysis and programming activities.
• Partner with management teams to define system enhancements.
• Resolve high impact problems through evaluation of processes.
• Ensure designs adhere to architectural blueprint and standards.
• Develop standards for coding, testing, and deployment.
• Understand business areas integration to meet goals.
• Provide in-depth analysis and innovative solutions.
• Coach mid-level developers and analysts, allocating work.
• Assess risk and ensure compliance with laws and policies.

Skills

Python

Java/C++

Kubernetes

TensorFlow/PyTorch/Scikit-learn

APIs/REST/GraphQL

NLP libraries (NLTK/spaCy/HF)

Data visualization (Power BI/Tableau)

Git/GitHub

Model eval metrics (Accuracy, F1, ROC‑

Education

Bachelor’s degree in Computer Science or equivalent

Master’s degree preferred

Tools

Docker

Apache Spark

Power BI

REST/GraphQL frameworks (Django/Flask)

Job description

Citi is seeking a Gen AI Engineering Analyst at Vice President level in Jacksonville, FL. The role leads AI/ML applications, APIs, and data platforms with cross‑functional teams to deploy scalable solutions. Strong cloud and NLP experience is valued.

Responsibilities include guiding architecture, modeling, and deployments, mentoring juniors, and ensuring risk controls and regulatory alignment across programs. Hybrid work, competitive package included.