Applied AI Engineer, Vice President, Institutional Securities Technology
AI in this role
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
Key Responsibilities
1. GenAI Use Case Delivery & Industrialization
- Partner with ISG business and technology teams to identify, prioritize, and deliver high-value GenAI use cases.
- Move use cases from PoC to production, ensuring scalability, robustness, and integration.
- Define and implement reusable architectures and engineering patterns.
- Ensure solutions meet performance and reliability requirements.
2. Engineering & Platform Integration
- Design and build solutions leveraging LLMs, agent frameworks, and orchestration tools.
- Integrate GenAI into internal platforms and applications.
- Collaborate with enterprise AI/ML platforms and contribute reusable components.
3. Responsible AI, Risk & Controls
- Ensure compliance with security, data privacy, and regulatory requirements.
- Implement guardrails (validation, auditability, monitoring).
- Partner with risk and compliance teams on governance.
4. Business Value Realization
- Define KPIs and track business impact.
- Communicate outcomes to senior stakeholders.
- Optimize solutions for value delivery.
5. Engineering Enablement & Change Adoption
- Enable teams through best practices and training.
- Define AI-assisted development guidelines.
- Drive adoption of AI-enabled ways of working. - Bachelor's or Master's degree in Computer Science or related field.
- 5-10+ years experience in software engineering or AI/ML.
- Hands-on experience with LLMs, APIs, and distributed systems.
- Programming skills (Python, Java, or similar).
- Experience delivering production-grade systems.
- Bachelor's or Master's degree in Computer Science or related field.
Preferred Qualifications
- Experience in financial services or trading technology (preferable but not essential)
- Familiarity with RAG, vector databases, and prompt engineering.
- Understanding of AI governance and regulatory expectations.
- Experience with developer productivity tools and AI coding solutions.
- Exposure to data engineering pipelines.
Key Competencies
- Business-driven mindset
- Strong execution focus
- Stakeholder engagement
- Structured problem-solving
- Collaboration
- Adaptability
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.
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 score this
Applied AI Engineer, Vice President, Institutional Securities Technology at Morgan Stanley scores 61 out of 100 for how much of the daily work is AI. That makes it AI Level 3 of 4 (Works on AI). The level is about AI in the job, not seniority.
AI Level 3. The daily work is on or around AI systems, without necessarily building the model: remove AI and the job is hollow.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
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 think about the risk of an AI system in this kind of role failing silently?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, RAG, 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.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
Want your resume actually rewritten for this job?
The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.
Get new AI engineer jobs at AI Level 3+ by email
One email a week with the new AI engineer jobs at AI Level 3+, each rated AI Level 1 to 4 for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles rated AI Level 3 at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step