Senior AI Engineer - Vice President

Citi

Remote

Quick summary

Work type: Remote
Location: Jersey City, NJ
Salary: $142,320–$213,480 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $205k

This role $178k

$129k most similar roles pay here $270k

This role pays less than 66% of similar roles. Most pay $164,625–$246,150 — the shaded band above. At the midpoint, this role pays about $178k versus about $205k 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 369 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 347 roles with salary data.

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At a glance

TL;DR · Senior AI Engineer - Vice President

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As a Senior AI Applications Developer in the Technology team, you will lead the development and deployment of advanced GenAI platforms, focusing on building autonomous AI systems that integrate seamlessly with enterprise environments. Your daily tasks include architecting resilient microservices, implementing secure data storage solutions using diverse databases, and optimizing AI agent performance through profiling and caching strategies. You will work extensively with Python backend services like FastAPI and asyncio, ensuring robust data pipelines and secure REST APIs. Key technologies include GenAI platforms such as Gemini and Claude, advanced NLP/NLU techniques, and containerization tools like Docker and Kubernetes. This role requires expertise in large language models, transformer architectures, and agentic frameworks, along with a deep understanding of software design patterns and MLOps practices. You will collaborate closely with cross-functional teams to deliver high-quality AI solutions while mentoring engineering teams and contributing to open-source projects.

Skills

GenAI Python FastAPI asyncio MongoDB SQL NoSQL RAG LangChain OpenShift Kubernetes Docker React AngularJS Java Spring Boot DeepSpeed vLLM GPTQ CI/CD MLOps NodeJs Advanced NLP/NLU Transformer Architectures

What you'll do

Lead AI agent development using GenAI platforms and microservices.
Architect autonomous AI systems for problem-solving with robust APIs.
Implement secure data storage for conversational AI across diverse databases.
Develop resilient systems with advanced error handling and intelligent routing.
Drive thought leadership in GenAI, integrating emerging platforms and research.
Deliver end-to-end Agentic AI solutions focusing on Python backend services.

What we're looking for

Extensive experience with GenAI concepts and Large Language Models (LLMs).
Expert Python proficiency for AI/ML development and backend services.
Hands-on experience with AI Development Tools like Claude Code, Devin AI.
Proficient in containers and orchestration technologies, deploying large-scale systems.
Experience architecting virtual assistants, chatbots, and conversational AI platforms.
Deep understanding of advanced NLP/NLU, machine learning, and generative AI techniques.
Proven expertise in LLM fine-tuning methods and RAG system development.

AI Platform Engineer - Vice President

Morgan Stanley

New York, NY 80 days ago $150,000–$210,000

Kubernetes AWS Azure Google Cloud Platform Python REST framework Terraform OpenShift API Gateway Generative AI GPT Hugging Face Langchain OAuth 2.0 CI/CD Jenkins GitOps DevOps Microservice architecture Open Telemetry Prometheus Grafana Redis Kafka SQL NoSQL Big Data Scalable vector stores Agentic Orchestration Agent Builder frameworks

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