VP Lead Generative AI Engineer - Hybrid, Open-Source LLMs

Citi; Jacksonville (FL); Hybrid; USD 126,000 - 189,000; Full time

Benefits offered by this job

Hybrid work

Continuous learning

Benefits package

Health coverage

401(k)

Insurance

Wellness programs

Paid time off

Incentives

Job summary

Citi is seeking a Lead Generative AI Engineer (VP) to design, develop, and deploy generative AI solutions for intelligent operations and automation. This role emphasizes hands-on leadership in deploying LLMs, RAG, and AI safety frameworks in financial services contexts.

The ideal candidate will have deep expertise in LLM architectures, vector databases, Python ML stacks, and cloud-native deployments, along with a track record of delivering production-grade AI systems.

Qualifications

• Deep understanding of LLM architectures, vector databases, embedding models, and AI orchestration frameworks.
• Hands-on experience with Google Vertex AI and deploying open-source models such as Llama, Mistral, Gemma.
• Proven production experience implementing deterministic controls, semantic routing, guardrails, and bias/hallucination detection.
• Expert-level Python skills with ML libraries: PyTorch, Hugging Face, Pandas, NumPy; plus FastAPI and Flask.
• Strong containerization and delivery experience with OpenShift, Docker, Kubernetes, and CI/CD pipelines.
• Experience in financial services tech, including regulatory compliance and risk management.
• Demonstrated ability to lead AI and automation efforts from concept through production.

Responsibilities

• Lead hands-on development and delivery of intelligent operations capabilities, including advanced chatbots, agentic workflow automation, and AI-assisted decision platforms.
• Fine-tune, prompt-engineer, and deploy open-source LLMs and proprietary models using Google Vertex AI.
• Implement RAG pipelines.
• Build AI safety frameworks using guardrails and deterministic controls to reduce hallucinations and ensure data privacy.
• Design and deploy scalable AI pipelines using Python and cloud-native architectures with Docker and Kubernetes.
• Apply financial services tech expertise to align AI model usage with risk management and auditability.

Skills

LLM architectures

Vector databases

Embedding models

AI orchestration

Python

PyTorch

Hugging Face

Pandas

NumPy

FastAPI

Flask

Docker

Kubernetes

OpenShift

CI/CD

Vertex AI

Guardrails

Deterministic controls

Risk management

Financial compliance

Leadership

Education

Bachelor’s degree or equivalent

Master’s degree preferred

Tools

Google Vertex AI

Open-source models

API development

Job description

Citi is seeking a Lead Generative AI Engineer (VP) to design, develop, and deploy generative AI solutions for intelligent operations and automation. This role emphasizes hands-on leadership in deploying LLMs, RAG, and AI safety frameworks in financial services contexts.

The ideal candidate will have deep expertise in LLM architectures, vector databases, Python ML stacks, and cloud-native deployments, along with a track record of delivering production-grade AI systems.