Principal AI Engineer - Vice President

Citi

Remote

Quick summary

Work type
Remote
Location
Tampa, Florida
Salary
$125,600–$188,400 / yr
Posted
2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $157k
$111k most similar roles pay here $261k

This role pays less than 83% of similar roles. Most pay $167,550–$246,150 — the shaded band above. At the midpoint, this role pays about $157k versus about $207k 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.

Most-posted roles

View all roles at Citi

At a glance

TL;DR · Principal AI Engineer - Vice President

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The Digital Software Engineering Lead Analyst is a senior-level role within the Technology job family at an enterprise-scale organization, focusing on designing and engineering agentic AI solutions that integrate data from multiple systems. This hands-on architect will define technical approaches for building robust, fault-tolerant AI agents and automation capabilities, working closely with cross-functional teams including Data Engineering, Architecture, and Product. Key responsibilities include designing end-to-end AI system blueprints, evaluating LLMs, and implementing advanced RAG architectures while ensuring secure deployment of GenAI applications in cloud environments using Kubernetes and Docker. The ideal candidate has over 10 years of experience in software engineering with expertise in ML, NLP, and extensive hands-on work with LLMs like OpenAI and HuggingFace models. Proficiency in Python libraries such as Pandas, NumPy, PyTorch, and TensorFlow is essential, along with strong CI/CD skills and knowledge of cloud-native AI frameworks.

Skills

Python Pandas NumPy scikit-learn PyTorch TensorFlow Transformers FastAPI LangChain LLM Kubernetes Docker CI/CD GitLab CI Jenkins Azure DevOps ArgoCD GitHub Actions MLOps Google_ADK langGraph RAG Pinecone PGVector MongoDB Atlas Vector Search Neo4j Milvus OpenAI Gemini Claude Mistral Llama

What you'll do

  • Design and build agentic AI systems with autonomous agents and multi-agent orchestration.
  • Architect fault-tolerant, scalable AI solutions using modern agent frameworks.
  • Define end-to-end AI system blueprints including knowledge integration and failover strategies.
  • Evaluate and select LLMs, embeddings, vector stores for complex enterprise requirements.
  • Develop robust data pipelines optimized for large language model workloads.
  • Implement safety guardrails and bias/error mitigation strategies in AI applications.
  • Build cloud-native GenAI applications using containerized infrastructure like Kubernetes.

What we're looking for

  • 10+ years of experience in AI/ML engineering and systems architecture.
  • Proven track record of designing and deploying enterprise-grade AI systems.
  • Expertise in LLMs (OpenAI, Gemini, Claude, Mistral) and RAG architectures.
  • Proficiency in Python with ML libraries like Pandas, NumPy, TensorFlow, PyTorch.
  • Experience building agentic AI using Google\_ADK or langGraph frameworks.
  • Strong CI/CD experience and expertise deploying GenAI solutions in production.

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