Senior AI Systems Architect: Generative & Agentic AI

Citi; Tampa (FL); On-site; USD 180,000 - 240,000; Full time

Job summary

Citi is hiring an experienced Senior Generative AI Developer to design and integrate agentic AI across our Controls Technology platform. You will craft robust agent systems atop foundation models, focusing on context engineering, RAG, and multi-agent orchestration.

Collaboration with cross-functional teams is essential to deliver scalable, compliant AI solutions that enhance automation. You will mentor juniors, review code, and help shape best-practice governance, safety, and observability for

Qualifications

• Deep, hands-on expertise in foundation models, LLMs, embeddings, tokenization, and context-window management.
• Advanced skills in prompt and context engineering, including tools/frameworks and dynamic context orchestration.
• Strong experience building RAG systems with chunking, hybrid search, and multi-vector retrieval.
• Experience designing knowledge graphs and Graph RAG pipelines (Neo4j, ArangoDB) for multi-hop retrieval.
• Proven track record building agentic AI systems with Google ADK and related frameworks, including tool calling and memory.
• Solid grasp of multi-agent orchestration patterns and harness engineering for governance and safety.
• Hands-on with MCP and A2A protocols for tool/data access and inter-agent collaboration.
• Experience with agent observability (OpenTelemetry) for production systems.
• Proficiency with major GenAI APIs (OpenAI, Gemini, Claude) and orchestration tools (LangChain, LlamaIndex).
• Strong NLP skills (NER, parsing, classification, topic modeling).
• Proficiency with vector databases and embedding models for large-scale retrieval.
• Experience with Docker, Kubernetes, and CI/CD for AI/agentic apps.
• Solid understanding of AI compliance, guardrails, and responsible AI practices.
• Strong Python skills and data preprocessing, document ingestion, and API development.

Responsibilities

• Collaborate with AI architects to design and implement generative and agentic AI solutions for enterprise challenges.
• Architect advanced context engineering strategies to maximize reliability, provenance, and token efficiency.
• Design and implement advanced generative AI methods, including prompt engineering and RAG.
• Build and optimize RAG systems with hybrid search and multi-vector retrieval.
• Design knowledge graphs and Graph RAG architectures for grounded, multi-hop reasoning.
• Architect agentic workflows and multi-agent systems using ADK and comparable frameworks, with orchestration patterns.
• Develop robust agent harnesses with governance, constraints, and execution controls.
• Integrate agents with tools via MCP and coordinate inter-agent collaboration via A2A.
• Support production deployment, scalability, observability, and maintainability of GenAI/agentic apps.
• Contribute to real-time and streaming AI solution development and optimization.
• Stay current with advances in generative/agent AI and share knowledge with the team.
• Ensure adherence to ethical AI guardrails, data privacy, and compliance standards.
• Mentor junior engineers, provide code reviews, and promote technical excellence.

Skills

Foundation models

LLMs

Embeddings

Tokenization

Context window

Prompt engineering

Context engineering

Prompt design tools

Dynamic context orchestration

RAG systems

Chunking strategies

Hybrid search

Multi-vector retrieval

Knowledge graphs

Graph RAG

Neo4j

ArangoDB

Google ADK

LangGraph

Agent Framework

CrewAI

OpenAI Agents SDK

Supervisor/Worker

Hierarchical

Peer-to-peer

MCP

A2A

OpenTelemetry

OpenAI APIs

Gemini

Claude

LangChain

LlamaIndex

NER

Dependency parsing

Text classification

Topic modeling

Vector databases

Embedding models

Docker

Kubernetes

CI/CD

AI compliance

Guardrails

Python

Data preprocessing

Document ingestion

API development

Tools

Neo4j

ArangoDB

Google ADK

LangGraph

CrewAI

OpenAI Agents SDK

LangChain

LlamaIndex

Docker

Kubernetes

CI/CD

Job description

Citi is hiring an experienced Senior Generative AI Developer to design and integrate agentic AI across our Controls Technology platform. You will craft robust agent systems atop foundation models, focusing on context engineering, RAG, and multi-agent orchestration.

Collaboration with cross-functional teams is essential to deliver scalable, compliant AI solutions that enhance automation. You will mentor juniors, review code, and help shape best-practice governance, safety, and observability for