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Morgan Stanley

GenAI Use Case Delivery & Industrialization Engineer

Morgan Stanley
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senior full-time

First indexed 3 Oct 2026

Description

We are seeking a talented engineer to join our team in delivering and industrializing high-value GenAI use cases. You will partner with business and technology teams to identify, prioritize, and deliver GenAI solutions, ensuring scalability, robustness, and integration.

Key Responsibilities:

  • GenAI Use Case Delivery & Industrialization: Partner with ISG business and technology teams to identify, prioritize, and deliver high-value GenAI use cases. Move use cases from PoC to production, ensuring scalability, robustness, and integration. Define and implement reusable architectures and engineering patterns. Ensure solutions meet performance and reliability requirements.
  • Engineering & Platform Integration: Design and build solutions leveraging LLMs, agent frameworks, and orchestration tools. Integrate GenAI into internal platforms and applications. Collaborate with enterprise AI/ML platforms and contribute reusable components.
  • Responsible AI, Risk & Controls: Ensure compliance with security, data privacy, and regulatory requirements. Implement guardrails (validation, auditability, monitoring). Partner with risk and compliance teams on governance.
  • Business Value Realization: Define KPIs and track business impact. Communicate outcomes to senior stakeholders. Optimize solutions for value delivery.
  • Engineering Enablement & Change Adoption: Enable teams through best practices and training. Define AI-assisted development guidelines. Drive adoption of AI-enabled ways of working.

Requirements:

  • Bachelor's or Master's degree in Computer Science or related field.
  • 5-10+ years experience in software engineering or AI/ML.
  • Hands-on experience with LLMs, APIs, and distributed systems.
  • Programming skills (Python, Java, or similar).
  • Experience delivering production-grade systems.

Preferred Qualifications:

  • Experience in financial services or trading technology.
  • Familiarity with RAG, vector databases, and prompt engineering.
  • Understanding of AI governance and regulatory expectations.
  • Experience with developer productivity tools and AI coding solutions.
  • Exposure to data engineering pipelines.

What You Can Expect from Morgan Stanley: 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 offer some of the most attractive and comprehensive employee benefits and perks in the industry.