Morgan Stanley Fixed Income Secured Lending (FSL) is seeking an exceptional
AI Engineer - Agentic Solutions (Vice President) to help shape and deliver the next generation of AI-powered capabilities across one of the firm's fastest-growing lending businesses.
This is a unique opportunity to operate at the intersection of
Agentic AI, Quantitative Finance, and Front-Office Strategy, partnering closely with business leaders, strategists, and technology teams to transform complex lending workflows into intelligent, scalable, and production-ready solutions.
As a key member of the team, you will drive the full lifecycle of AI innovation, from identifying high-impact business opportunities and building prototypes to deploying enterprise-grade solutions that deliver measurable business value. You will work directly with stakeholders to reimagine how lending professionals interact with data, documents, analytics, and decision-making processes.
Key Responsibilities- Design, develop, and deploy production-grade agentic AI applications to automate and enhance front-office lending workflows.
- Build solutions leveraging:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Model Context Protocol (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, helping shape Morgan Stanley's broader AI strategy and innovation agenda.
Key considerations- 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.
- 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.
Why Join Us?- Opportunity to build cutting-edge AI solutions with direct business impact.
- Close partnership with senior business leaders and front-office decision makers.
- Ownership from idea inception to production deployment.
- Exposure to one of the firm's most active AI innovation ecosystems.
- Ability to influence the future of AI-driven lending and investment workflows at scale.
Expected base pay rates for the role will be between
$225,000 - $250,000 for
Vice President, at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
