
Application Development Group Manager - Senior Vice President
Citi · Pune Maharashtra India · Hybrid
Strong hiring record · median 15 days open
All reasons
In its favour
- Still listed on the employer's own board
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.
- 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
------------------------------------------------------
Job Family Group
Technology------------------------------------------------------
Job Family
Applications Development------------------------------------------------------
Time Type
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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
- Generative AI
- LLMOps
- Java
- J2EE
- HTML
- CSS
- React
- JavaScript
- LLM
- Embeddings
- Prompt Engineering
- LangGraph
- OpenAI
- Harness
- Model Context Protocol
- Retrieval-Augmented Generation
- Vector Databases
- Docker
- Kubernetes
- OpenShift
- EKS
- GKE
- Git
- DVC
- Python
- FastAPI
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