Agentic AI Tech Lead

Citi; New York (NY); On-site; USD 120,800 - 170,800; Full time

Job summary

Citi is seeking an experienced Agentic AI Tech Lead in New York, NY. This role focuses on developing custom AI platform components while guiding technical strategy and maintaining architectural integrity. Applicants should have extensive experience in full-stack engineering and AI solutions, with a strong ability to lead technical teams.

The ideal candidate brings over 10 years of experience, including leadership in AI/ML, strong AWS knowledge, and a relevant educational background. A competitive salary range of $120,800 to $170,800 is offered.

Qualifications

• 10+ years of experience.
• 5+ years in AI/ML, with at least 2+ years in Generative AI.
• 3+ years of leadership experience managing technical teams.
• Extensive hands-on experience with AWS services.

Responsibilities

• Lead development of custom AI platform components.
• Code and optimize multi-tenant intelligent agents.
• Develop and enforce clean integration layers.
• Write data ingestion and retrieval code.
• Work with SMEs on enterprise workflow automation.

Skills

Full-Stack Engineering

AI/ML and Generative AI

Leadership and Team Management

AWS Services

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field

Job description

Agentic AI Tech Lead

Job Req Id: 26975232

Location: Mississauga, Ontario, Canada

Job Type: On‑Site/Resident

Posted: Jul. 02, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

We are seeking an expert Hands‑On Technical Lead to serve as the player‑coach for our Services AI Platform engineering team. In this role, you will split your time between writing production‑grade code and guiding the technical strategy of the platform. You will build and scale multi‑tenant agentic ecosystems, develop custom fine‑tuning applications, and ensure the platform adheres to our core principles (Trust, Adoption, Cost, Operations, and Scalability). You will lead by example, setting the standard for code quality and architectural purity while driving high‑impact business use cases.

Key Responsibilities

• Full‑Stack Engineering: Lead the development of custom AI platform components, including full‑stack applications utilizing Python and Angular (e.g., building and maintaining internal LLM/SLM fine‑tuning planes and experiment tracking dashboards).
• Agentic Frameworks: Code and optimize multi‑tenant intelligent agents utilizing modular orchestration patterns such as ReAct and ReWOO, and frameworks like Google’s Agent Development Kit (ADK).
• Strict Architectural Implementation: Develop and enforce clean, decoupled integration layers. Build Model Context Protocol (MCP) servers ensuring a strict communication flow: Agents interact solely with MCP servers, and MCP servers interact solely with APIs to retrieve data. Direct database access from agents or MCP servers is strictly prohibited.
• Advanced Data Retrieval & Logic Engineering: Write the data ingestion and retrieval code for advanced RAG architectures, including Knowledge Graph RAG (GraphRAG), LightRAG, and hierarchical summary trees (RAPTOR). Develop seamless integrations with graph and vector databases (such as Neo4j and pgvector) to power complex, thematic data retrieval. Design robust LLM instructions and classification logic to prevent collisions in complex workflows, ensuring mutually exclusive intents are handled with high precision.
• Use Case Development & Forward Deployment: Act as a Forward Deployed Engineer (FDE), working directly with Subject Matter Experts (SMEs) on business and domain understanding to accurately translate complex enterprise workflows into automated, agent‑driven code. Partner with UI and workflow integration developers to ensure the backend agentic logic connects flawlessly with user‑facing layers and existing enterprise APIs.

Qualifications

• 10+ Years experience
• 5+ years of experience in AI/ML, with at least 2+ years in Generative AI.
• 3+ years of leadership experience managing technical teams and delivering complex software or AI solutions.
• Extensive hands‑on experience with AWS services and infrastructure related to AI/ML.
• A strong portfolio of projects showcasing the successful delivery of AI solutions into a production business environment.

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field

Primary Location Full Time Salary Range

$120,800.00 – $170,800.00

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.

Job Family Group

Technology

Job Family

Applications Development

Time Type

Full time

Equal Opportunity Employer

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.

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