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NEXTMOVEFDE careers · United States

Lead GenAI Java Developer - VP

AI summary of the role

Lead the evolution of Morgan Stanley's real-time fraud screening platform as a VP, integrating Generative AI and machine learning capabilities.

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

What you’ll do

  • Lead design and development of high-performance Java or Scala microservices for real-time fraud detection.
  • Architect scalable solutions incorporating LLMs, vector search, prompt engineering, and RAG patterns.
  • Integrate GenAI capabilities such as alert explanation, anomaly summarization, synthetic data generation, and automation.
  • Partner with data science teams to productionize machine learning and GenAI models.

What you’ll bring

  • 10+ years of hands-on Java engineering experience with strong knowledge of performance, concurrency, and distributed systems.
  • Practical experience with GenAI technologies including LLMs (OpenAI, Azure OpenAI, Anthropic), prompt engineering, RAG, and vector databases.
  • Experience building cloud-ready applications and containerized deployments using Docker and Kubernetes.
  • Strong understanding of microservices, distributed caching, and relational databases (Sybase, Oracle, MS SQL).

Technologies

Java · Scala · Kafka · MQ · Docker · Kubernetes · OpenAI · Azure OpenAI · Anthropic · LangChain · LlamaIndex · Pinecone

About Morgan Stanley

Global financial-services firm advising, trading, managing and allocating capital for corporations, governments, institutions, wealthy clients and retail investors across banking, markets and asset management.

Public · 5000+ people

Source and classification

Internal deployment & tooling · Evidence for this classification:

Company Profile Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management, and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. Team Profile The Fraud Technology group within NFRT delivers solutions to detect, prevent, and analyze fraud across the enterprise. We partner with cybersecurity, fraud analytics, compliance, legal, data governance, and operations teams to design scalable and intelligent fraud detection platforms. Our work includes building real-time, batch, and analytical systems, integrating vendor solutions, and driving adoption of Generative AI across fraud workflows. Role Profile As a Vice President - Java Engineering and Generative AI, you will lead the evolution of
More from the job description

Company Profile Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management, and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. Team Profile The Fraud Technology group within NFRT delivers solutions to detect, prevent, and analyze fraud across the enterprise. We partner with cybersecurity, fraud analytics, compliance, legal, data governance, and operations teams to design scalable and intelligent fraud detection platforms. Our work includes building real-time, batch, and analytical systems, integrating vendor solutions, and driving adoption of Generative AI across fraud workflows. Role Profile As a Vice President - Java Engineering and Generative AI, you will lead the evolution of Morgan Stanley's real-time fraud screening platform, integrating machine learning and Generative AI capabilities. You will collaborate with architects, analytics teams, and data governance partners while providing technical leadership to an Agile squad. The role includes shaping engineering best practices, mentoring developers, driving solution design, and championing GenAI adoption across Fraud Technology. Key Responsibilities Platform and Application Engineering Lead design and developmen [... source excerpt omitted ...] synthetic data generation, and automation. Drive cloud-ready and containerized development using Docker and Kubernetes. AI and ML Integration Partner with data science teams to productionize machine learning and GenAI models. Implement APIs for AI inference, model orchestration, and governance. Ensure compliance with responsible AI, model risk, and data privacy standards. Technical Leadership Guide engineering teams in CI or CD, DevOps tooling, code quality, and observability. Mentor junior engineers and promote innovation and continuous learning. Collaborate with fraud analysts, reporting teams, and data governance stakeholders. Architecture and Strategy Contribute to t [... source excerpt omitted ...] distributed systems, event-driven architectures, and API-first design. 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 alongs

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