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.
ResponsibilitiesArchitect 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.
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.
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.
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.
Apply now to lead the engineering of Agentic AI systems that will define how one of the world's largest financial institutions builds, deploys, and scales intelligent technology.
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Primary Location Full Time Salary Range:$120,800.00 - $170,800.00------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Automated Processing and AIWe 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.
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This job opening is for an existing job vacancy.
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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.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- 6 or more years of software engineering experience with ownership of technical delivery and team leadership across complex, large-scale programs
- Deep frontend development expertise using React, TypeScript, HTML5, and CSS3
- Advanced proficiency in Python, including FastAPI, Flask, and Celery, and/or Java, including Spring Boot and Spring Cloud
- Experience designing and building Agentic AI and LLM-integrated systems, including 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
- Knowledge of enterprise security principles including OAuth2, OIDC, TLS, and secrets management with tools such as HashiCorp Vault
- Production experience designing and querying relational databases including PostgreSQL and Oracle, and NoSQL databases including MongoDB and Couchbase
- Bachelor's degree or equivalent practical experience in Computer Science, Engineering, or a related field
- Experience deploying and managing agents on enterprise Agentic AI runtime platforms, including network policy compliance, egress controls, and resource governance
- Familiarity with Model Context Protocol for mediating agent interactions with downstream business systems and databases
- Experience with NoSQL and vector databases such as Milvus or Pinecone
- Master's degree in Computer Science, Software Engineering, or a related discipline
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
