Fixed Income Division - Vice President, AI Engineer - Agentic Solutions (Vice President)
Morgan Stanley is hiring a Fixed Income Division - Vice President, AI Engineer - Agentic Solutions (Vice President) in New York, United States. It pays $225k-$250k a year and Level rates it ; you can apply on Morgan Stanley.
Level's read on this job
- On Level's scale, this AI engineer role is Builds AI ●●●●: the job is building AI systems.
- The listed pay starts 22% above the typical AI engineer posting on Level.
- Tools and skills the posting cites include prompt engineering, RAG and AI agents.
- Level lists 1,200+ other open roles at Morgan Stanley.
- The role was posted in the last few days.
AI in this 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.
How we rate this
Fixed Income Division - Vice President, AI Engineer - Agentic Solutions (Vice President) at Morgan Stanley rates 87 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- This job starts at
- $225k
- Typical AI engineer job
- $184k
This posting starts 22% above the typical AI engineer job. See AI engineer jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you think about the risk of an AI system in this kind of role failing silently?
- How would you decide a model or AI system is ready to ship?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI agents, and AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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