MUMBAI · FULLTIME
AI Java Lead Engineer
Morgan Stanley
Mumbai · onsite · Posted 11d ago
Sourced from
Undisclosed6–11 yrsfulltimeMumbai
Your match
?
Sign in to see your match score, skill gaps & tailored resume.
Section · 01
About this role
AI Java Lead Engineer - Vice President - Software Engineering
Job Summary
What you ll bring to the role:
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Job Summary
Were seeking someone to join our Institutional Securities Technology (Prime Brokerage AND Institutional Equity) team as a Java Backend Engineer to build scalable, high-performance enterprise applications on a team thats adopting agentic AI workflows (built on frameworks like the Claude Agent SDK). This is fundamentally a backend engineering role - the bar is deep Java/Spring Boot craftsmanship and strong problem-solving. AI/agentic experience is crucial; we need someone who is aware & can quickly pick up orchestrator/subagent patterns & eval workflows.
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineer position at Vice President Level, which is part of the job family responsible for developing and maintains software solutions that support business needs.
- Hands-on Java development.
- Deep Spring Boot, microservices, REST APIs, messaging integrations (Kafka, JMS, RabbitMQ).
- Strong SQL, concurrency & distributed systems design
- CI/CD, DevOps, production observability.
- Experience in performance tuning and scalability improvements.
- Demonstrated strong problem-solving ability and comfort learning new technologies quickly
What you ll bring to the role:
- Genuine interest in AI-assisted / agentic software development, with basic hands-on exposure (personal projects, POCs, or production) to LLM-integrated systems - e.g., calling OpenAI/Azure OpenAI/Anthropic APIs, or using tools like GitHub Copilot / Claude Code in a substantial way.
- Ability to grasp and reason about agentic concepts: 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 (OpenAI, Azure OpenAI, Anthropic, or equivalent).
- Working knowledge of agentic AI frameworks - 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: orchestrator/subagent patterns, agent-to-agent communication, and guardrails for autonomous systems.
- Awareness of AI system reliability concerns: hallucination mitigation, observability (tracing agent runs), latency, and cost management.
- Curiosity and self-driven experimentation with emerging agentic patterns (ReAct, Chain-of-Thought, reflection loops, human-in-the-loop gates).
- RAG architecture and Vector Database concepts.
- Financial Services or Investment Banking domain experience.
- At least 6 years relevant experience would generally be expected to find the skills required for this role.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Let the agent run this one for you.
Tailored resume, auto-apply, and referral lookup — in under 2 minutes.
Section · 02
Skills
Devopsclaudeai integrationCrewaiDistributed Systemsapisai frameworksenterprise applicationsClaude CodecopilotAzure OpenAIConcurrencyBankingautonomous systemsBrokerageArchitectureEmployee BenefitsMicrosoft AzureArtificial IntelligenceAnthropic SDK
Section · Company
About Morgan Stanley
Morgan Stanley
Financial Services
16.0k+
employees
1931
95 years old
New York, New York
United States (USA)
About
Morgan Stanley helps individuals, families, institutions, and governments raise, manage and distribute the capital they need to achieve their goals.
Industries
Financial Services
Employee ratings
2,050 reviews
3.6/ 5
Culture
3.6
Career growth
2.8
Work-life
3.6
Employees rate it well for
Work Life Balance357Work Culture349Salary281Senior Management203Job Security176
Find them on