Lead Generative AI Engineer, VP

Citi • Irving, TX

5d • $125,760 - $188,640 • Hybrid

About The Position

Citi is looking for a Lead AI/GenAI Engineer to drive the design, development, and deployment of next-generation intelligent operations and automation platforms within the AI Automation Forward Deployed Engineering (FDE) team, part of Consumer Operations Technology. In this senior hands-on role, you will build and operationalize generative AI solutions using cutting-edge open-source models and enterprise cloud platforms, while architecting the governance frameworks needed to ensure security, compliance, and reliability at scale. Your work will directly shape how Citi applies AI to transform its operations and deliver measurable impact across the business.

Requirements

• Deep understanding of LLM architectures, vector databases (e.g., Pinecone, Milvus, Chroma), embedding models and AI orchestration frameworks (Google ADK, LangChain etc).
• Hands-on experience with Google Vertex AI (or equivalent cloud AI suites) and deploying open-source models (Llama, Mistral, Gemma).
• Proven experience implementing deterministic controls, semantic routing, guardrails, and bias/hallucination detection in production AI systems.
• Expert-level Python skills, including AI/ML libraries (PyTorch, Hugging Face, Pandas, NumPy) and API development (FastAPI, Flask).
• Strong experience with containerization (Openshift,Docker, Kubernetes), CI/CD pipelines, and cloud-native application delivery.
• Experience in financial services technology, with an understanding of financial products, compliance requirements, and the competitive AI landscape in fintech.
• Demonstrated ability to lead AI and automation programs from concept to production, setting credible technical direction at a senior level.

Nice To Haves

• Experience deploying and tuning models on Google Vertex AI or equivalent enterprise-grade cloud AI platforms.
• Familiarity with additional AI orchestration tools and emerging open-source LLM frameworks beyond core requirements.
• A Bachelor’s degree/University degree or equivalent experience. Master's degree in Computer Science, Artificial Intelligence, or a related technical discipline, preferred.

Responsibilities

• Lead the hands-on development and delivery of intelligent operations solutions, including advanced chatbots, agentic workflow automation, and AI-assisted decision platforms.
• Fine-tune, prompt-engineer, and deploy open-source LLMs (Llama, Mistral, Gemma, etc) and proprietary models via Google Vertex AI. Implement RAG (Retrieval-Augmented Generation) pipelines.
• Architect and implement robust AI safety frameworks, guardrails (e.g., NeMo Guardrails, Llama Guard), and deterministic controls to prevent hallucinations, ensure data privacy, and maintain regulatory compliance.
• Design and deploy scalable AI pipelines using Python, containerization (Docker, Kubernetes), and cloud-native architectures.
• Apply deep knowledge of financial services technology to ensure AI models adhere to strict risk management, auditability, and financial data security standards.

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree