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AI Java Lead Engineer – Vice President, Software Engineering

Morgan Stanley
NewPosted today

LOCATION

Mumbai · Onsite

EXPERIENCE

6+ Years

SALARY

Negotiable

SKILLS REQUIRED

JavaAPI IntegrationMicroservices ArchitectureMachine LearningAgentic AI WorkflowsSpring Boot

Job description

Overview

Lead backend engineering for scalable, high-performance enterprise applications in the Institutional Securities Technology team, using Java and Spring Boot while adopting agentic AI workflows.

What you'll do

  • Develop Java applications hands-on.
  • Build and maintain Spring Boot microservices and REST APIs.
  • Integrate messaging systems including Kafka, JMS, and RabbitMQ.
  • Design for SQL, concurrency, and distributed systems.
  • Work with CI/CD, DevOps, and production observability.
  • Improve performance tuning and scalability.
  • Apply strong problem-solving ability and learn new technologies quickly.

What you'll need

  • Genuine interest in AI-assisted or agentic software development, with basic hands-on exposure through personal projects, POCs, or production to LLM-integrated systems.
  • Experience calling OpenAI, Azure OpenAI, or Anthropic APIs, or using tools such as GitHub Copilot or Claude Code in a substantial way.
  • Ability to reason about orchestrator/subagent patterns, tool/function calling, eval-driven iteration (“hill climbing”), and basic prompt engineering.
  • Python exposure for AI integration, scripting, or data pipeline use cases.
  • Hands-on experience integrating LLMs into production backend systems using OpenAI, Azure OpenAI, Anthropic, or equivalent.
  • Working knowledge of agentic AI frameworks including LangChain, LangGraph, Spring AI, AutoGen, CrewAI, or Claude Agent SDK, including agent memory, tool calling, and multi-step reasoning loops.
  • Ability to design multi-agent workflows, including orchestrator/subagent patterns, agent-to-agent communication, and guardrails for autonomous systems.
  • Awareness of AI system reliability concerns including hallucination mitigation, tracing agent runs, latency, and cost management.
  • Curiosity and self-driven experimentation with emerging agentic patterns including ReAct, Chain-of-Thought, reflection loops, and human-in-the-loop gates.
  • Knowledge of RAG architecture and vector database concepts.
  • At least 6 years' relevant experience.

Nice to have

  • Financial Services or Investment Banking domain experience.

Details

  • Location: Mumbai, Maharashtra, India.
  • Vice President level.

Read the full description and apply on the company’s own careers page.

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AI Java Lead Engineer – Vice President, Software Engineering