Vice President, AI Engineer - Agentic Solutions; Vice President

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.

• Design, develop, and deploy production-grade agentic AI applications to automate and enhance front-office lending workflows.
• Build solutions leveraging Large Language Models (LLMs).
• Build solutions leveraging Retrieval-Augmented Generation (RAG).
• Build solutions leveraging Model Context Protocol (MCP).
• Build solutions leveraging Text-to-SQL architectures.
• Build solutions leveraging Agent orchestration frameworks.
• Build solutions leveraging 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.

• 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.

• 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.

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,…