Lead Software Engineer (Agentic AI & Full Stack) - Vice President

Citi; Mississauga; Hybrid; CAD 172,000 - 243,000; Full time

Benefits offered by this job

Hybrid work model

Global AI infrastructure exposure

Learning & development opportunities

Performance-based rewards

Collaborative engineering culture

Job summary

Citi is seeking a Lead Software Engineer to architect and deliver Agentic AI applications across full‑stack systems. You will define technical direction, lead engineers, and build production‑grade platforms for autonomous, multi‑agent workflows at global scale.

You will oversee frontend React/TypeScript and backend Python/Java services, implement secure architectures, and drive integration with LLM gateways and cloud providers. A hybrid model with strong leadership is offered.

Qualifications

• 6+ years of software engineering experience with ownership of delivery and team leadership.
• Frontend expertise in React, TypeScript, HTML5, CSS3 for responsive UIs.
• Advanced Python (FastAPI, Flask) and/or Java (Spring Boot) for scalable services.
• Agentic AI and LLM-integrated systems, RAG, embeddings, and semantic search.
• Hands-on Kubernetes/OpenShift, Docker, and CI/CD (Harness/Jenkins/Tekton).
• Security principles: OAuth2, OIDC, TLS, Vault.
• Relational databases (PostgreSQL, Oracle) and NoSQL (MongoDB, Couchbase).

Responsibilities

• Architect secure, high‑performance full‑stack applications for Agentic AI workflows.
• Lead hands‑on development across React to Python/Java microservices and APIs.
• Design multi‑agent AI workflows using LangChain, LangGraph, and related tools.
• Integrate with Citi's LLM gateway across Azure, Vertex, and others, including billing.
• Set standards, patterns, and best practices for teams and AI integration.
• Model data and integrate relational and vector DBs for stateful AI ops.
• Lead multiple engineering teams, guiding performance reviews and growth.
• Evaluate new AI frameworks to evolve tech stack and competitiveness.

Skills

React

TypeScript

HTML5

CSS3

Python

Java

FastAPI

Flask

Celery

Kubernetes

OpenShift

Docker

CI/CD

OAuth2

OIDC

TLS

Vault

PostgreSQL

Oracle

MongoDB

Couchbase

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

Education

Bachelor's degree in CS/Engineering or related field

Tools

Jenkins

Tekton

Harness

Job description

Citi is looking for a Lead Software Engineer to architect and deliver next‑generation Agentic AI applications at the intersection of full‑stack engineering and large language model integration. In this senior role, you will define the technical direction for AI‑powered platforms, lead teams of engineers, and build production‑grade systems that power autonomous, multi‑agent workflows across Citi's global technology organization. This is a rare opportunity to shape how Agentic AI is designed, deployed, and governed at enterprise scale within one of the world's largest financial institutions.

Responsibilities

• Architect secure, resilient, and high‑performance full‑stack applications designed to support complex Agentic AI workflows at enterprise scale.
• Lead hands‑on development across the full application stack — from React and TypeScript frontends to Python and Java microservices and RESTful/gRPC APIs — ensuring code is clean, modular, and production‑ready.
• Design and implement stateful, multi‑turn, and multi‑agent AI workflows using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
• Integrate applications with Citi's secure LLM gateway to access and manage AI models from Azure, Vertex, and other providers, including token usage, rate limits, and billing analytics.
• Establish and enforce technical standards, design patterns, and engineering best practices for full‑stack development and AI agent integration across teams.
• Architect data models and integrate with relational and vector databases to enable stateful AI operations across complex, data‑intensive workflows.
• Lead and develop multiple engineering teams, owning performance evaluations, hiring decisions, and the technical growth of team members.
• Evaluate emerging AI frameworks and tooling to evolve the technical stack and maintain a competitive engineering capability.

Required Qualifications & Skills

• 6 or more years of software engineering experience, with demonstrated ownership of technical delivery and team leadership across complex, large‑scale programs.
• Deep expertise in frontend development using React, TypeScript, HTML5, and CSS3, with a focus on building responsive, accessible, and production‑grade user interfaces.
• Advanced proficiency in Python (FastAPI, Flask, Celery) and/or Java (Spring Boot, Spring Cloud) for building scalable backend services and APIs.
• Proven ability to design and build Agentic AI and LLM‑integrated systems, with applied knowledge of Retrieval‑Augmented Generation (RAG), vector embeddings, and semantic search.
• Hands‑on experience with Kubernetes, Red Hat OpenShift, Docker, and CI/CD platforms such as Harness, Jenkins, or Tekton for cloud‑native deployments.
• Solid command of enterprise security principles, including OAuth2, OIDC, TLS, and secrets management using tools such as HashiCorp Vault.
• Experience designing and querying both relational databases (PostgreSQL, Oracle) and NoSQL databases (MongoDB, Couchbase) within production environments.
• Bachelor's degree or equivalent practical experience in Computer Science, Engineering, or a related field.

Beneficial Skills & Qualifications

• Experience deploying and managing agents on enterprise Agentic AI runtime platforms, with familiarity around network policy compliance, egress controls, and resource governance.
• Familiarity with Model Context Protocol (MCP) for mediating agent interactions with downstream business systems and databases.
• Experience with NoSQL and vector database technologies such as Milvus or Pinecone in support of AI‑native data architectures.
• Master's degree in Computer Science, Software Engineering, or a related discipline.

What We Offer

Joining Citi means working on technology that operates at global scale, with the scope and resources to make a genuine impact. As a Lead Software Engineer at this level, you will have real ownership over technical direction, access to cutting‑edge AI infrastructure, and the opportunity to shape how enterprise‑grade Agentic AI evolves within one of the world's most complex financial organizations.

• A hybrid working model with 3 days in the office and 2 days working remotely, giving you the structure of collaboration alongside meaningful flexibility.
• Strategic ownership over high‑impact engineering decisions that influence how AI systems are built and deployed across Citi globally.
• Exposure to advanced AI and LLM infrastructure at a scale few organizations can offer, keeping your technical capabilities at the forefront of the industry.
• Continuous learning and development opportunities, including access to emerging tools, frameworks, and engineering practices as they evolve.
• A performance‑driven environment where your contributions to delivery, architecture, and team development are recognized and rewarded.
• Competitive financial wellbeing support, including compensation and benefits designed to reflect the seniority and scope of this role.
• The ability to lead, mentor, and grow engineering teams, building lasting capability and technical culture within a global organization.

Job Family Group

Technology

Job Family

Applications Development

Time Type

Full time

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.

This job opening is for an existing job vacancy.

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