Application Development Group Manager - Senior Vice President

Citi

Maharashtra

On-site

INR 3,500,000 - 6,000,000

Full time

21 hours ago
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Job summary

Citi is seeking an Applications Development Group Manager (SVP) to lead architecture and delivery of enterprise AI platforms with a focus on Generative AI and agentic systems.

The role requires 10+ years in full-stack and distributed backend leadership, deep hands-on expertise in AI architectures, and proven experience guiding global technology teams.

Qualifications

  • 10+ years in full-stack and distributed backend leadership.
  • Proven experience delivering large-scale enterprise software.
  • Strong background in AI governance and MLOps concepts.
  • Experience with multi-agent architectures and agentic workflows.

Responsibilities

  • Lead architecture and delivery of enterprise AI platforms.
  • Define and enforce coding standards, performance, and reliability.
  • Drive AI governance, model lifecycle, and security practices.
  • Mentor global engineering teams and scale engineering practices.

Skills

Generative AI architectures
Multi-agent frameworks
LLMOps & AI governance
Java/J2EE enterprise stack
RESTful APIs & microservices
Distributed backend engineering
Prompt engineering & context
Containerization & orchestration
Python (FastAPI, AsyncIO)
Cloud & infrastructure familiarity

Education

Bachelor’s degree or equivalent
Master’s degree preferred

Tools

Docker
Kubernetes (OpenShift/EKS/GKE)
LangGraph
Google ADK
OpenAI Agents SDK
RAG pipelines tooling

Job description

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.
  • 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.
  • 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.
  • 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
  • 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

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills:

For complementary skills, please see above and/or contact the recruiter.

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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.

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.

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