Application Development Group Manager - Senior Vice President

Citibank (Switzerland) AG; Pune District; Hybrid; Confidential; Full time

Job summary

Citibank (Switzerland) AG in Pune, India, invites an Applications Development Group Manager (SVP) to lead architecture and delivery of enterprise-grade software platforms with a core focus on Generative AI and Agentic AI systems. You will guide senior engineers across Java/J2EE, React, and microservices, driving scalable, high-throughput solutions.

The ideal candidate has 10+ years of full-stack and distributed backend leadership, deep hands-on experience in frontier AI architectures, LLMs, and

Qualifications

• 10+ years of full-stack and distributed backend leadership.
• Experience in Java/J2EE, microservices, and RESTful APIs.
• Hands-on AI architectures, multi-agent frameworks, and LLM governance.

Responsibilities

• Set technology direction for enterprise software platforms with Generative AI focus.
• Lead architecture, delivery, and scaling of AI-driven systems.
• Establish engineering standards, governance, and quality metrics.

Skills

Java/J2EE

REST APIs

Microservices

React.js

OO Design

Distributed Systems

LLMs

LLMOps

Agent Protocols

DevOps

Education

Bachelor’s in CS/Engineering

Master’s degree preferred

Tools

Docker

Kubernetes

OpenShift

Git

DVC

Job description

## Application Development Group Manager - Senior Vice PresidentApply: Hybrid: Pune Maharashtra India: Full time: Posted Today: 26991220The 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:** * 13+ years of relevant experience* Experience in applications development* Experience in management* Experience managing global technology teams* Working knowledge of industry practices and standards* Consistently demonstrates clear and concise written and verbal communication**Education:** * Bachelor’s degree/University degree or equivalent experience* Master’s degree preferred