[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-java-lead-engineer-vice-president-software-engineering-morgan-stanley-advantage-svcs-de-in":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":11,"featured_until":7,"is_active":12,"deactivated_at":7,"is_enriched":12,"processed_job_posting_json":13,"processed_latitude":99,"processed_longitude":100,"processed_employment_types":101,"processed_working_hours":102,"processed_working_hours_labels":104,"processed_home_office":105,"processed_salary_min":96,"processed_salary_max":97,"processed_salary_currency":93,"processed_salary_source":106,"processed_benefits":107,"processed_benefits_labels":110,"processed_industry":111,"processed_skills":7,"processed_job_location":112,"processed_full_address_gmaps":114,"processed_street_gmaps":116,"processed_city_gmaps":118,"processed_postal_code_gmaps":119,"processed_country_gmaps":121,"processed_country_iso_code_gmaps":123,"full_description":16,"formatted_description":124,"processed_employment_types_labels":35,"processed_home_office_labels":33,"processed_industry_labels":37,"processed_it_skills":125,"processed_it_skills_labels":128,"processed_soft_skills":129,"processed_soft_skills_labels":131,"processed_job_expertise_skills":132,"processed_job_expertise_skills_labels":133,"processed_language_requirements":134,"processed_total_experience_years":141,"processed_professional_field":142,"processed_professional_field_labels":144,"processed_leadership_role":12,"processed_date_posted":20,"raw_job_url":145,"apply_url":7,"raw_hiringOrganization_logo_url":7,"translations":7,"canonical_industry_key":111,"canonical_industry_label":37,"max_cpc":146,"actual_cpc":7},85649,"ai-java-lead-engineer-vice-president-software-engineering-morgan-stanley-advantage-svcs","AI Java Lead Engineer _ Vice President _Software Engineering",null,{"name":9,"slug":10,"logo_url":7},"Morgan Stanley Advantage Svcs","morgan-stanley-advantage-svcs",false,true,{"@context":14,"@type":15,"title":6,"description":16,"hiringOrganization":17,"datePosted":20,"validThrough":21,"jobLocation":22,"jobLocationType":33,"employmentType":34,"industry":36,"skills":38,"baseSalary":91},"https:\u002F\u002Fschema.org\u002F","JobPosting","AI Java Lead Engineer _ Vice President _Software Engineering We're 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 that's adopting agentic AI workflows (built on frameworks like the Claude Agent SDK). This is fundamentally a backend engineering role — the bar is deep Java\u002FSpring Boot craftsmanship and strong problem-solving. AI\u002Fagentic experience is crucial; we need someone who is aware & can quickly pick up orchestrator\u002Fsubagent 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. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you’ll do in the role: 8-16 Yrs. Of Hands-on Java development. Deep Spring Boot, microservices, REST APIs, messaging integrations (Kafka, JMS, RabbitMQ). Strong SQL, concurrency & distributed systems design CI\u002FCD, 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 \u002F agentic software development, with basic hands-on exposure (personal projects, POCs, or production) to LLM-integrated systems — e.g., calling OpenAI\u002FAzure OpenAI\u002FAnthropic APIs, or using tools like GitHub Copilot \u002F Claude Code in a substantial way. Ability to grasp and reason about agentic concepts: orchestrator\u002Fsubagent patterns, tool\u002Ffunction 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\u002Fsubagent 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. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https:\u002F\u002Fwww.morganstanley.com\u002Fabout-us\u002Fglobal-offices into your browser. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit: https:\u002F\u002Fwww.morganstanley.com\u002Fpeople-opportunities\u002Feeo. At Morgan Stanley, we advise, originate, trade, manage and distribute capital for people, governments and institutions, always with a standard of excellence and guided by our core values. Morgan Stanley is dedicated to providing first-class service to our clients, in a way that reflects our commitment to creating a more sustainable future and fostering stronger communities around the world. In each line of business, we strive to demonstrate our belief in the power of transformative thinking, innovative strategies and leading-edge solutions—and in the ability of capital to work for the benefit of all society. 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This is fundamentally a backend engineering role — the bar is deep Java\u002FSpring Boot craftsmanship and strong problem-solving. AI\u002Fagentic experience is crucial; we need someone who is aware & can quickly pick up orchestrator\u002Fsubagent patterns & eval workflows.\n\nIn 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.\n\nSince 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.\n\n## What you’ll do in the role:\n\n- 8-16 Yrs. Of Hands-on Java development.\n- Deep Spring Boot, microservices, REST APIs, messaging integrations (Kafka, JMS, RabbitMQ).\n- Strong SQL, concurrency & distributed systems design CI\u002FCD, DevOps, production observability.\n- Experience in performance tuning and scalability improvements.\n- Demonstrated strong problem-solving ability and comfort learning new technologies quickly\n\n## What you’ll bring to the role:\n\n- Genuine interest in AI-assisted \u002F agentic software development, with basic hands-on exposure (personal projects, POCs, or production) to LLM-integrated systems — e.g., calling OpenAI\u002FAzure OpenAI\u002FAnthropic APIs, or using tools like GitHub Copilot \u002F Claude Code in a substantial way.\n- Ability to grasp and reason about agentic concepts: orchestrator\u002Fsubagent patterns, tool\u002Ffunction calling, eval-driven iteration (\"hill climbing\"), and basic prompt engineering.\n- Python exposure for AI integration, scripting, or data pipeline use cases.\n- Hands-on experience integrating LLMs into production backend systems (OpenAI, Azure OpenAI, Anthropic, or equivalent).\n- 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.\n- Ability to design multi-agent workflows: orchestrator\u002Fsubagent patterns, agent-to-agent communication, and guardrails for autonomous systems.\n- Awareness of AI system reliability concerns: hallucination mitigation, observability (tracing agent runs), latency, and cost management.\n- Curiosity and self-driven experimentation with emerging agentic patterns (ReAct, Chain-of-Thought, reflection loops, human-in-the-loop gates).\n- RAG architecture and Vector Database concepts.\n- Financial Services or Investment Banking domain experience.\n\nAt least 6 years' relevant experience would generally be expected to find the skills required for this role.\n\n## WHAT YOU CAN EXPECT FROM MORGAN STANLEY:\n\nAt Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries.\n\nAt Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.\n\nTo learn more about our offices across the globe, please copy and paste https:\u002F\u002Fwww.morganstanley.com\u002Fabout-us\u002Fglobal-offices into your browser.\n\nMorgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit: https:\u002F\u002Fwww.morganstanley.com\u002Fpeople-opportunities\u002Feeo.\n\nAt Morgan Stanley, we advise, originate, trade, manage and distribute capital for people, governments and institutions, always with a standard of excellence and guided by our core values. Morgan Stanley is dedicated to providing first-class service to our clients, in a way that reflects our commitment to creating a more sustainable future and fostering stronger communities around the world. In each line of business, we strive to demonstrate our belief in the power of transformative thinking, innovative strategies and leading-edge solutions—and in the ability of capital to work for the benefit of all society.\n\n## What We Do",{"jms":126,"rag":127,"sql":126,"java":126,"ci\u002Fcd":126,"kafka":126,"crewai":127,"devops":126,"python":127,"autogen":127,"rabbitmq":126,"langchain":127,"langgraph":127,"rest apis":126,"spring ai":127,"openai api":127,"claude code":127,"spring boot":126,"azure openai":127,"anthropic api":127,"microservices":126,"github copilot":127,"claude agent sdk":127,"vector databases":127},4,2,[39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62],{"problem-solving":126,"curiosity":126,"self-driven experimentation":126,"collaboration":130},3,[63,64,65,66],{"react":127,"concurrency":126,"cost management":127,"chain-of-thought":127,"reflection loops":127,"latency management":127,"performance tuning":126,"prompt engineering":127,"tracing agent runs":127,"agentic ai workflows":127,"ai system reliability":127,"eval-driven iteration":127,"multi-agent workflows":127,"tool\u002Ffunction calling":127,"human-in-the-loop gates":127,"hallucination mitigation":127,"production observability":126,"scalability improvements":126,"financial services domain":127,"investment banking domain":127,"distributed systems design":126,"agent-to-agent communication":127,"orchestrator\u002Fsubagent patterns":127,"guardrails for autonomous systems":127},[67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90],{"detected_language_jobad":135,"required":136},"en",[137],[138],{"language":139,"level":140},"ENGLISH","C1",8,[143],"Software and Applications Developers and Analysts",[143],"https:\u002F\u002Fms.wd5.myworkdayjobs.com\u002Fen-us\u002Fprivate\u002Fjob\u002Fmumbai-india\u002Flead-ai-engineer-vice-president--software-engineer_jr045095",1]