Lead Agentic AI Engineer

Citibank (Switzerland) AG; Irving (TX); On-site; Confidential; Full time

Job summary

Citi is seeking a Lead Agentic AI Engineer in Irving, TX, to drive the design and integration of agentic AI across our Controls Technology platform. You will craft context engineering, RAG pipelines, and multi-agent orchestration, leveraging pre-trained foundation models and production-grade tooling.

You will work with cross-functional teams, implement robust agent harnesses, and ensure scalable, safe deployments with strong governance and observability.

Qualifications

• Deep expertise in generative AI concepts including foundation models and embeddings.
• Experience building RAG systems with multi-vector retrieval and re-ranking.
• Proven ability to design graph-based retrieval and Graph RAG pipelines.

Responsibilities

• Collaborate with AI architects to design and implement generative and agentic AI solutions.
• Architect context engineering strategies for memory management and token efficiency.
• Design and implement prompt engineering and retrieval-augmented generation (RAG).
• Build and optimize RAG systems with hybrid search and multi-vector retrieval.
• Design knowledge graphs and Graph RAG architectures for multi-hop reasoning.
• Architect agentic workflows using Google ADK and other frameworks.
• Design agent harnesses with governance, feedback loops, and isolation controls.
• Integrate agents with Model Context Protocol (MCP) and Agent2Agent (A2A).
• Ensure deployment, observability, and maintainability in production environments.
• Stay current with advances and mentor junior team members.

Skills

Foundation models

Agentic AI

Context engineering

prompt engineering

RAG systems

Graph RAG

ADK tooling

A2A protocol

MCP

OpenAI APIs

LangChain

LlamaIndex

Python

Docker

Kubernetes

NLP

Knowledge graphs

Education

Bachelor's or master's in CS/Data AI

Tools

Docker

Kubernetes

OpenAI APIs

LangChain

LlamaIndex

Neo4j/ArangoDB

Job description

## Lead Agentic AI EngineerApply: Hybrid: Irving Texas United States: Tampa Florida United States: Full time: Posted Today: 26988042**Job Overview**We are seeking an experienced Lead Agentic AI Engineer to help drive the design, development, and integration of state-of-the-art Generative AI and **agentic AI** solutions across our enterprise Controls Technology platform. You will collaborate with cross-functional teams, contribute deep technical expertise in context engineering, retrieval systems, knowledge graphs, and multi-agent orchestration, and play a key role in delivering scalable, grounded AI solutions to enhance automation and operational efficiency. This role centers on architecting robust applications and agent systems on top of pre-trained and hosted foundation models — not on training or fine-tuning models.**Key Responsibilities*** Collaborate with AI architects, leads, and stakeholders to design and implement generative and agentic AI solutions that address business challenges.* Architect advanced **context engineering** strategies — context layering, chaining, compression, pruning/offloading, and memory management — to maximize reliability, provenance, and token efficiency in production.* Design and implement advanced generative AI methods, including sophisticated **prompt engineering** and **Retrieval-Augmented Generation (RAG)**.* Build and optimize **RAG systems**, including hybrid search, multi-vector retrieval, and re-ranking pipelines.* Design and implement **knowledge graphs** and **Graph RAG** architectures to enable multi-hop reasoning, explainability, and traceable, grounded responses for high-value business domains.* Architect **agentic workflows and multi-agent systems** using **Google Agent Development Kit (ADK)** and comparable frameworks (LangGraph, Microsoft Agent Framework, CrewAI), applying orchestration patterns such as supervisor/worker, hierarchical, and peer-to-peer.* Design robust **agent harnesses** — governance, constraints, feedback loops, state/session management, and execution controls that make long-running agent systems reliable and safe.* Integrate agents with tools and data via the **Model Context Protocol (MCP)** and orchestrate inter-agent collaboration and task delegation via the **Agent2Agent (A2A)** protocol.* Support the integration of GenAI and agentic applications into production environments, ensuring robust deployment, scalability, observability, and maintainability.* Contribute to the development and optimization of real-time and streaming AI solutions.* Stay current with the latest advances in generative and agentic AI and actively share knowledge with the team.* Ensure adherence to ethical AI guidelines, guardrails, agent isolation/sandboxing, data privacy, and compliance standards.* Mentor junior team members, provide code reviews, and foster a culture of technical excellence.**Required Technical Skills*** Deep, hands-on expertise in **core generative AI concepts** — foundation models, LLMs, embeddings, tokenization, and context-window management.* Advanced skills in **prompt engineering** and **context engineering**, including familiarity with prompt design tools/frameworks and dynamic context orchestration.* Strong experience building **RAG systems**, including chunking strategies, hybrid search, and multi-vector retrieval.* Practical experience designing **knowledge graphs** and **Graph RAG** pipelines (e.g., using graph databases such as Neo4j or ArangoDB) for relationship-aware, multi-hop retrieval.* Proven experience building **agentic AI systems** with **Google ADK** and/or comparable frameworks (LangGraph, Microsoft Agent Framework, CrewAI, OpenAI Agents SDK), including tool/function calling, planning, and memory.* Strong grasp of **multi-agent orchestration** patterns (supervisor/worker, hierarchical, peer-to-peer) and **harness engineering** (governance, feedback loops, execution controls, agent isolation/sandboxing).* Hands-on experience with **agent interoperability protocols** — the **Model Context Protocol (MCP)** for tool/data access and the **Agent2Agent (A2A)** protocol for inter-agent collaboration.* Experience with **agent observability and evaluation** (e.g., tracing, OpenTelemetry-based tooling) for production agent systems.* Proficiency with **major GenAI APIs** (OpenAI, Gemini, Claude, etc.) and orchestration frameworks such as **LangChain and LlamaIndex**.* Strong skills in **NLP** (NER, dependency parsing, text classification, topic modeling).* Proficiency with **vector databases** and embedding models for large-scale retrieval.* Experience with containerization (**Docker**), orchestration (**Kubernetes**), and CI/CD pipelines for AI/agentic applications.* Solid understanding of AI compliance, guardrails, and responsible AI practices.* Strong skills in **Python** and experience with data preprocessing, document ingestion, and API development.**Required Soft Skills*** Strong collaboration skills to work effectively in cross-functional teams.* Analytical and proactive approach to problem-solving.* Clear communication skills for both technical and non-technical audiences.* Eagerness to learn, innovate, and mentor less experienced developers.**Qualifications*** 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.* Demonstrated portfolio of successful AI-driven projects in a business environment.* Experience working with AWS (or equivalent) cloud infrastructure for AI/GenAI.------------------------------------------------------## **Job Family Group:**Technology------------------------------------------------------## **Job Family:**Applications Development------------------------------------------------------## **Time Type:**Full time------------------------------------------------------## **Primary Location:**Irving Texas United States------------------------------------------------------## **Primary Location Full Time Salary Range:**$125,760.00 - $188,640.00In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.------------------------------------------------------## **Most Relevant Skills**Please see the requirements listed above.------------------------------------------------------## **Other Relevant Skills**For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------## **Anticipated Posting Close Date:**Sep 24, 2026------------------------------------------------------## **Automated Processing and AI** We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.Illinois residents – AI Notice and Right------------------------------------------------------*Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.*