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

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.
• 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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Most Relevant Skills

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Automated Processing and AI