Lead Software Engineer (Agentic AI & Full Stack) - Vice President
Role Overview
Citi seeks a Lead Software Engineer to architect and deliver enterprise-scale Agentic AI applications combining full-stack engineering and LLM integration.
The role defines technical direction, builds production systems for autonomous multi-agent workflows, and leads engineering teams across Citi’s global technology organization.
Key Skills for This Role
Full Job Posting
Job Summary
Citi seeks a Lead Software Engineer to architect and deliver enterprise-scale Agentic AI applications combining full-stack engineering and LLM integration.
The role defines technical direction, builds production systems for autonomous multi-agent workflows, and leads engineering teams across Citi’s global technology organization.
Responsibilities
- Architect secure, resilient, high-performance full-stack applications for complex Agentic AI workflows.
- Develop React and TypeScript frontends, Python and Java microservices, and RESTful or gRPC APIs.
- Design stateful, multi-turn, and multi-agent AI workflows using Agentic AI frameworks.
- Integrate applications with Citi’s secure LLM gateway, including token, rate-limit, and billing management.
- Establish technical standards and engineering practices across teams.
- Integrate relational and vector databases to support stateful AI operations.
- Lead multiple engineering teams and own evaluations, hiring decisions, and team growth.
- Evaluate emerging AI frameworks and tooling.
Required Qualifications and Skills
- At least 6 years of software engineering experience with technical delivery and team leadership on large-scale programs.
- Expertise with React, TypeScript, HTML5, and CSS3 for responsive and accessible interfaces.
- Advanced proficiency in Python or Java for scalable backend services and APIs.
- Experience with Agentic AI, LLM integration, RAG, vector embeddings, and semantic search.
- Experience with Kubernetes, Red Hat OpenShift, Docker, and CI/CD platforms.
- Knowledge of OAuth2, OIDC, TLS, and secrets management.
- Experience with relational and NoSQL databases in production.
- Bachelor’s degree or equivalent practical experience in a related field.
Beneficial Skills and Qualifications
- Experience with enterprise Agentic AI runtime platforms, network policy compliance, egress controls, and resource governance.
- Familiarity with Model Context Protocol.
- Experience with Milvus, Pinecone, or other vector database technologies.
- Master’s degree in a related discipline.
Workplace and Schedule
- The role follows a hybrid working model with three days in the office and two days working remotely.
About Citi
The position is within Citi’s global technology organization and supports enterprise-grade technology at financial-institution scale.
Compensation
- The stated full-time salary range is CAD 120,800 to CAD 170,800.
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