Fixed Income Division - Vice President, AI Engineer - Agentic Solutions
Morgan Stanley
About the role
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.
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 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 are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
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.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.
Responsibilities
- Design, develop, and deploy production-grade agentic AI applications for front-office lending workflows.
- Build AI solutions using LLMs, RAG, MCP, Text-to-SQL, agent orchestration, and multi-agent systems.
- Develop scalable Python-based AI services and APIs for enterprise deployment.
- Identify and prioritize high-impact AI use cases with business leaders.
- Integrate AI solutions with internal data platforms, research systems, analytics tools, and lending applications.
- Establish practices for AI evaluation, monitoring, governance, and responsible deployment.
Qualifications
- Strong software engineering and system design experience.
- Hands-on experience building and deploying AI/ML applications using LLMs.
- Experience with RAG, vector databases, knowledge retrieval, prompt engineering, and agent orchestration.
- Knowledge of APIs, microservices, cloud-native development, and production deployment.
- Strong problem-solving, communication, and stakeholder management skills.
- Experience with MCP, tool-calling frameworks, Text-to-SQL, document intelligence, or knowledge management.
- Background in fixed income, structured products, lending, securitized products, or financial markets is advantageous.
- Experience working with front-office businesses and quantitative teams is advantageous.
Benefits
- Comprehensive employee benefits and perks.
- Potential commission, incentive compensation, discretionary bonuses, and short- and long-term incentive packages.
- Opportunities for career mobility and professional development.
Skills mentioned
About Morgan Stanley
Morgan Stanley is a leading global financial services firm providing investment banking, securities, wealth management and investment management services. With a 90-year history, Morgan Stanley today operates in 42 countries serving corporations, governments, institutions, families and individuals. Morgan Stanley is a talent business that demands ongoing investment in our people. Key drivers of our success have been the breadth and tenure of our talent, as well as a unique culture and a set of values that guide our employees. We view Morgan Stanley’s talent and culture as a key competitive advantage enabling the Firm to achieve its potential and drive future success. As an integrated firm with scaled capabilities, we partner with clients at every stage of their financial journey. Our ability to do so is grounded in four pillars that define Morgan Stanley: a clear and consistent strategy to help clients raise, manage and allocate capital; a culture grounded in rigor, humility and partnership; financial strength through capital, earnings power and durability; and growth driven by smart, strategic investment globally. These pillars enable Morgan Stanley to provide trusted advice, operate with resilience across market cycles and deliver long-term value to our clients and shareholders. Social Media Disclosures: mgstn.ly/SocialDisclosure
H-1B sponsorship history
Historical employer filing data was found for Morgan Stanley. The employer record includes 3,801 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.