Morgan Stanley
Applied AI Engineer, Vice President, Institutional Securities Technology
Hong Kong SAR China · Work style not stated · Full time
Apply on the employer’s site ↗See how well you match this job
You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.
About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerMorgan Stanley
- LocationHong Kong SAR China
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
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.
Show full description
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.
Check your resume against this job Free, no sign-up. Nothing you paste is stored.
Staying safe while you apply
- Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
- Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
- Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.
Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.
Preparing for this role with ROLIVA
- Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
- Prepare honestly.
Build interview stories and application drafts from your own evidence.
- Keep track.
Save the role and record your own application status and follow-ups.
Machine learning engineer jobs in Hong Kong SAR China
ROLIVA currently lists 5 open roles like this in Hong Kong SAR China.
Employers hiring for this
- Sunlife2 open roles
- Lalamove1 open role
- Morgan Stanley1 open role
- Qube Research & Technologies1 open role
Top skills asked for
Listings whose description mentions each term. A mention is not a requirement.
- Python4 postings
- Java3 postings
- LLM3 postings
- Machine learning3 postings
- AWS2 postings
- Docker2 postings
- Kubernetes2 postings
- PostgreSQL2 postings
At a glance
- Employment typeFull time
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.
Explore similar roles
Similar jobs
Allstate
Applied Machine Learning Engineer Senior Consultant II (Software Engineering Focus)
United States