Jobs

AI Lead - MSIM AI Team, Vice President, Investment Management
Mumbai, India
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Top Tier compensation with equity
•Wellness benefits
•Health, dental, and vision coverage
•Parental leave program
•Flexible PTO policy
•Annual team offsites
Required Skills
Python
TensorFlow
PyTorch
JOB LEVEL
Vice President
TIER
NA
Division: Investment Management
Job Title: AI Lead — MSIM AI Team
Location: Mumbai
Job Level: Vice President/ Executive Director
Company Profile
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.
Department Profile
Morgan Stanley Investment Management (MSIM), together with its investment advisory affiliates, has $1.6 trillion in assets under management or supervision as of September 30,2025. Morgan Stanley Investment Management strives to provide outstanding long-term investment performance, service and a comprehensive suite of investment management solutions to a diverse client base, which includes governments, institutions, corporations and individuals worldwide.
Background on the Team
Morgan Stanley Investment Management (MSIM) is one of the largest global asset management organizations of any full-service securities firm, with 45 offices serving clients in 19 countries. MSIM’s professionals worldwide provide outstanding long-term investment performance. We offer clients a diverse array of equity, fixed income, liquidity, and alternative investments, including merchant banking strategies. The role will be based within the Office of COO team in IM India GC.
Position Overview:
We are looking for a skilled and passionate teammate to join us in the Innovation / AI team in Morgan Stanley with at least 8- 12 years of experience. The successful candidate will be responsible for partnering with business areas across MSIM to launch AI-based solutions – including Generative-AI. This role will liaise with and actively influence business areas, working with business functions (Portfolio Managers / Investment Teams / Sales & Marketing, Client Services and Risk professionals), control functions, central AI teams and support functions to accelerate the adoption of AI.
Key Responsibilities Focus area ownership & delivery
- Lead implementation for the assigned AI focus area; create clear roadmaps, milestones, and stakeholder alignment to deliver business outcomes.
- Serve as the expert user of the focus area’s AI tool(s); design and deliver training, office hours, and playbooks to achieve full utilization.
- Define KPIs and operate a continuous feedback loop with users; recommend improvements or pivots (including vendor vs. build decisions) to track and maximize ROI.
Adoption & stakeholder partnership
- Build, manage, prioritize, and track AI business cases from inception to delivery; act as primary liaison between MSIM teams and Firmwide AI teams.
- Actively engage with business teams to define business case, engineer prompts, prototype agents and partner with tech to deliver solutions.
- Liaise with and influence business areas (e.g., portfolio managers/investment teams), control partners, and support functions to accelerate adoption.
Governance & controls
- Ensure all AI projects adhere to regulatory and compliance standards in close partnership with Legal, Risk, and Compliance; lead AI use cases through AI governance process; document lineage and usage within the control framework.
Experimentation & product strategy
- Run pilots, collect structured feedback, and iterate on model/tool choices; stay current on MS-approved models and capabilities to fold into product strategy.
Strategic planning & reporting
- Execute a focus area-level plan aligned to MSIM’s objectives; monitor impact and provide regular updates to senior leaders.
Team Management Experience
- Preferred team management experience.
Qualifications (Required/Preferred)
- Experience with and passion for Generative AI strategy, product management, experimentation, or innovation; strong grasp of AI concepts and technologies.
- Demonstrated ability to translate between business, control, and technology stakeholders; proven program/project management in fast-paced environments.
- Ability to thrive in con
- Excellent communication and leadership; strong analytical and problem-solving skills with attention to detail.
- Appreciation of trade-offs between vendor solutions vs. in-house build; experience with agile methods and tools (Scrum, JIRA).
- Bachelor’s degree required.
Success Measures (Focus area-Level KPIs)
- Adoption & Utilization: active users, repeat usage, training completion.
- Efficiency: cycle-time reductions, manual steps removed, throughput gains.
- Quality & Risk: accuracy/quality scores, rework rates, control incidents avoided.
- Business Impact: hours saved, cost savings, contribution to client value/revenue proxy.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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 opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
Internal Applicants
Internal mobility can be a way to grow your career and realize your professional potential. Typically, you must be in your position for at least 18 months and performing satisfactorily before applying for another job at the Firm. Internal applicants can find out more regarding career navigation, mobility guidelines and policy on our employee portal by clicking here.
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About Morgan Stanley

Morgan Stanley
PublicA financial services company that offers securities, asset management, and credit services.
10,001+
Employees
New York
Headquarters
Reviews
3.5
4 reviews
Work Life Balance
3.0
Compensation
2.5
Culture
3.2
Career
3.0
Management
3.0
35%
Recommend to a Friend
Pros
Skills evaluation through business plans and projects
Direct access to senior leadership interviews
Conversational interview format
Cons
Automated resume screening system issues
Focus on formatting over qualifications
Compensation concerns and salary expectations
Salary Ranges
11,766 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
1,682 reports
$114,371
total / year
Base
$96,366
Stock
-
Bonus
$18,005
$77,808
$170,800
Interview Experience
6 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Experience
Positive 16%
Neutral 84%
Negative 0%
Interview Process
1
Initial screening (HR/HireVue)
2
Technical rounds
3
Manager/Senior leadership interviews
4
Final round/Superday
Common Questions
Technical knowledge assessment
Behavioral questions
Role-specific scenarios
Leadership and teamwork examples
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