About The Position

Morgan Stanley Fixed Income Secured Lending is seeking a Vice President AI Engineer – Agentic Solutions to develop AI-powered capabilities for its lending business. The role works at the intersection of agentic AI, quantitative finance, and front-office strategy, partnering with business leaders, strategists, and technology teams to turn complex lending workflows into scalable, production-ready solutions. The role owns the AI innovation lifecycle, from identifying business opportunities and building prototypes to deploying enterprise-grade solutions. It also works with stakeholders to improve how lending professionals use data, documents, analytics, and decision-making processes. The engineer will contribute to the firm’s broader AI strategy through participation in SPG and Firmwide AI Challenge Labs.

Requirements

  • Strong software engineering and system design experience.
  • Hands-on experience building and deploying AI/ML applications leveraging LLMs.
  • Experience with RAG architectures, vector databases, knowledge retrieval systems, and prompt engineering.
  • Experience developing agentic workflows and AI orchestration frameworks.
  • Strong understanding of APIs, microservices, cloud-native development, and production deployment practices.
  • Excellent problem-solving skills and ability to translate complex business requirements into technical solutions.
  • Strong communication and stakeholder management skills.

Nice To Haves

  • Experience with MCP, tool-calling frameworks, and advanced agent architectures.
  • Experience building Text-to-SQL, document intelligence, or knowledge management solutions.
  • Background in Fixed Income, structured products, lending, securitized products, or broader financial markets.
  • Experience working directly with front-office businesses and quantitative teams.

Responsibilities

  • Design, develop, and deploy production-grade agentic AI applications for front-office lending workflows.
  • Build solutions using LLMs, RAG, MCP, Text-to-SQL architectures, agent orchestration frameworks, multi-agent systems, and workflow automation.
  • Develop scalable Python-based AI services and APIs for enterprise deployment.
  • Partner with business leaders to identify and prioritize high-impact AI use cases.
  • Integrate AI solutions with internal data platforms, research systems, analytics tools, and lending applications.
  • Establish best practices for evaluation, monitoring, governance, and responsible AI deployment.
  • Participate in SPG and Firmwide AI Challenge Labs and contribute to Morgan Stanley’s broader AI strategy and innovation agenda.

Benefits

  • Morgan Stanley-sponsored benefit programs and employee benefits and perks; specific offerings are not detailed in the posting.
  • Potential commission earnings, incentive compensation, discretionary bonuses, and other short- and long-term incentive packages, depending on the position.
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