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Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 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.
The Applications Development Group Manager (SVP) will serve as a senior engineering leader and technical authority responsible for driving the architecture, delivery, and scaling of enterprise-grade software platforms with a core focus on Generative AI and Agentic AI systems. The ideal candidate blends 10+ years of robust full-stack and distributed backend engineering leadership with deep hands-on expertise in frontier AI architectures, multi-agent frameworks, LLMOps, and enterprise AI governance.
1. Core Software Engineering & Architecture Leadership
•Hands-on Engineering Leadership: Extensive track record in designing, architecting, and delivering large-scale, high-throughput enterprise software applications.
•Backend & Enterprise Stack: Deep mastery of Java/J2EE enterprise ecosystem, multithreading, concurrency patterns, memory management, and asynchronous event-driven architectures.
•Modern Web & API Engineering: Proven experience in modern web technologies (HTML5, CSS3, React.js/modern JavaScript frameworks) and RESTful API design, microservices architecture, and API governance.
•Engineering Fundamentals: Strong command of Object-Oriented Design (OOPS/SOLID), Design Patterns, Data Structures, Algorithms, and distributed computing principles.
2. Generative AI, Foundation Models & Context Engineering
•Foundation Models & LLM Fundamentals: Deep theoretical and practical understanding of foundation models, Large Language Models (LLMs), embeddings, tokenization mechanics, attention mechanisms, and context-window optimization.
•Advanced Context Engineering: Hands-on mastery of production context management, including dynamic context layering, prompt chaining, context compression, memory pruning/offloading, and session-state persistence to maximize token efficiency, provenance, and output reliability.
•Advanced Prompt Engineering: Expertise in few-shot prompting, directional stimulus prompting, programmatic prompt pipelines, and automated prompt optimization frameworks.
3. Agentic AI, Multi-Agent Orchestration & Interoperability
•Multi-Agent System Architecture: Proven experience architecting and deploying production-grade agentic workflows using frameworks such as Google Agent Development Kit (ADK), LangGraph or OpenAI Agents SDK.
•Orchestration Patterns: Practical implementation of multi-agent patterns, including hierarchical supervisor/worker topologies, sequential planning, dynamic routing, reflection loops, and peer-to-peer collaboration.
•Agent Harness Engineering & Tooling: Strong grasp of agent harness mechanics, execution boundaries, sandboxing, feedback loops, human-in-the-loop (HITL) integration, and deterministic tool execution.
•Interoperability Protocols: Expertise in emerging agent communication and integration protocols, specifically:
•Model Context Protocol (MCP) for standardized tool, data, and service integration.
•Agent2Agent (A2A) protocols for inter-agent communication and task delegation across distributed systems.
4. Retrieval-Augmented Generation (RAG) & Knowledge Graphs
•Advanced RAG Architectures: Deep hands-on experience designing production RAG pipelines utilizing hybrid search, re-ranking models, parent-document/hierarchical chunking, multi-vector representations, and self-corrective RAG mechanisms.
•Vector Databases & Search Engines: Proficiency with enterprise vector storage solutions
5. LLMOps, Cloud & Infrastructure
•Containerization & Orchestration: Production mastery of Docker containerization and Kubernetes (OpenShift/EKS/GKE) cluster management, auto-scaling, and GPU/accelerator allocation.
•DevOps & LLMOps Pipelines: Deep knowledge of CI/CD automation, model registry workflows, automated regression testing, versioning (Git, DVC), continuous integration pipelines for prompts/models.
•Modern Python Web Frameworks: Strong proficiency in Python with direct development experience in modern asynchronous frameworks (FastAPI, AsyncIO) and high-performance data ingestion pipelines
Recommended Qualifications:
Education:
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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.
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View Citi’s EEO Policy Statement and the Know Your Rights poster.
Eligibility typically includes the qualifications and experience outlined in the job description above, with around 0-5 Years years of relevant experience expected for this role.
The key responsibilities for this role are detailed in the Key Responsibilities section above, covering the core duties expected of a Application Development Group Manager - Senior Vice President at Citi Bank.
This role requires around 0-5 Years years of relevant experience, as specified in the job listing. Please refer to the Qualifications & Experience section above for full details.
Skills relevant to this position are outlined in the Qualifications & Experience section above. In general, strong communication, domain knowledge, and the ability to meet role-specific targets are valued across similar BFSI positions.
You can apply directly using the Apply Now button on this page, which will take you to Citi Bank's application process for this role.