VP, Applications Development Tech Lead

Citi

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Tampa, FL
Salary
$113,840–$170,760 / yr
Posted
17 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $184k
This role $142k
$102k most similar roles pay here $225k

This role pays less than 82% of similar roles. Most pay $155,000–$213,346 — the shaded band above. At the midpoint, this role pays about $142k versus about $184k for comparable roles.

Based on 238 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 256 open roles on FindRole.

Listed pay typically runs $140,080–$210,120 across 238 roles with salary data.

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At a glance

TL;DR · VP, Applications Development Tech Lead

VP, Applications Development – Tech Lead (Java, UI, PL-SQL & Agentic AI) serves as a Senior Generative AI Developer within the Controls Technology platform. This role focuses on designing, developing, and integrating state-of-the-art generative and agentic AI solutions to enhance automation and operational efficiency. The successful candidate will architect advanced context engineering strategies, build RAG systems with hybrid search and multi-vector retrieval, and develop knowledge graphs for multi-hop reasoning. Key responsibilities include building agentic workflows using Google ADK, LangGraph, or CrewAI, while implementing the Model Context Protocol and Agent2Agent protocols. Technical requirements include proficiency in Python, SQL, Docker, Kubernetes, and CI/CD pipelines, alongside experience with vector databases, LangChain, LlamaIndex, and major GenAI APIs like OpenAI and Gemini. The role involves solving complex business challenges through robust, scalable, and ethically-governed AI systems.

What you'll do

  • Architect advanced context engineering strategies including layering, chaining, and memory management to optimize token efficiency and reliability.
  • Design and implement sophisticated prompt engineering and Retrieval-Augmented Generation (RAG) systems using hybrid search and multi-vector retrieval.
  • Build knowledge graphs and Graph RAG architectures to enable multi-hop reasoning and traceable responses for business domains.
  • Develop agentic workflows and multi-agent systems using frameworks like LangGraph, CrewAI, or Google Agent Development Kit.
  • Create robust agent harnesses featuring governance, feedback loops, state management, and execution controls for safe production use.
  • Integrate agents with tools and data via Model Context Protocol (MCP) and orchestrate collaboration through Agent2Agent (A2A) protocols.
  • Deploy and maintain scalable generative AI applications in production environments while ensuring observability and performance.
  • Ensure all AI solutions adhere to ethical guidelines, safety guardrails, and data privacy compliance standards.

What we're looking for

  • Bachelor's or master's degree in Computer Science, Data Science, AI, or a related field.
  • 5–7 years of experience in AI/software development, including significant experience in Generative AI and agentic AI.
  • Proven experience building agentic AI systems using Google ADK or frameworks like LangGraph, Microsoft Agent Framework, CrewAI, or OpenAI Agents SDK.
  • Expertise in RAG systems, knowledge graphs (Neo4j or ArangoDB), and advanced context engineering techniques.
  • Proficiency with major GenAI APIs (OpenAI, Gemini, Claude) and orchestration frameworks such as LangChain and LlamaIndex.
  • Experience with agent interoperability protocols including Model Context Protocol (MCP) and Agent2Agent (A2A).
  • Proficiency in Python, NLP, vector databases, and containerization tools like Docker and Kubernetes.
  • Demonstrated experience working with AWS or equivalent cloud infrastructure for AI/GenAI applications.

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