GenAI Solutions & Strategy VP - Vice President

Morgan Stanley • New York, NY

2d

About The Position

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. Technology Architecture and Modernization Technology Architecture & Modernization (A+M) unites a highly inter-connected set of functions in a pivotal role driving the over-arching technical framework, product delivery and developer enablement teams at the center of Morgan Stanley's technology strategy. Combining efforts to modernize technologies, architecture and development practices, A+M drives the Firm's multi-year Technology Modernization roadmap to more effective and innovative technology platforms, enabling our business to serve evolving client demands in a highly competitive industry. As the group expands and matures, we continue to add top technical talent, experienced professionals driven by the pursuit of engineering excellence, looking for complex and challenging technology roles with impact, visibility and unparalleled opportunities to work across Technology in multi-disciplinary collaboration with high performing teams, including our Distinguished Engineers. Position Overview: We are seeking a highly skilled and motivated GenAI Solutions & Strategy Vice President to join our team at Morgan Stanley. The successful candidate will be responsible for prototyping, developing, and advising on generative AI-based solutions to enhance business processes across the Firm. This role will liaise with business teams across the Firm, technology, vendors, and centralized AI teams to accelerate the development and adoption of AI-based solutions.

Requirements

• Demonstrated experience in Generative AI solutioning, product development, experimentation, or innovation within an enterprise environment.
• Strong understanding of AI/ML concepts, including LLM architectures, evaluation methodologies, and deployment patterns.
• Experience with solution architecture, system integration, and scalable platform-based development.
• Proven ability to operate in a complex, matrixed organization and manage multiple initiatives simultaneously.
• Strong stakeholder management, communication, and influencing skills, with the ability to engage both technical and non-technical audiences.
• Strong analytical and problem-solving capabilities with high attention to detail.

Nice To Haves

• Experience collaborating with external vendors or model providers is preferred.

Responsibilities

• GenAI Solutioning & Architecture Lead rapid prototyping and development of Generative AI solutions aligned to prioritized business use cases.
• Provide (or orchestrate) solution architecture guidance leveraging strategic platforms, including collaboration with foundational model providers and their engineering teams for advanced or custom implementations.
• Ensure solutions are scalable, secure, and aligned with enterprise architecture, data, and integration standards.
• Partner with platform owners and engineering teams to drive productionization and long-term sustainability of solutions.
• Technical Enablement & Reusable Patterns Build, publish, and maintain reusable reference architectures, design patterns, and guardrails to enable consistent, compliant, and scalable GenAI development.
• Ensure all assets are discoverable, well-documented, and routinely refreshed in alignment with evolving platform capabilities and regulatory expectations.
• Act as a central interface to route use cases to appropriate platforms, reducing duplication and streamlining intake and governance processes.
• Testing, Evaluation & Optimization Design and implement robust evaluation frameworks for Generative AI use cases, including automated testing, benchmark datasets, and human-in-the-loop assessments.
• Establish quality standards and continuously monitor model performance to ensure outputs meet enterprise thresholds for accuracy, safety, and reliability.
• Identify issues in model behavior and drive optimization strategies, including prompt engineering, fine-tuning, or architecture adjustments.
• Requirements Management & Platform Feedback Loop Establish structured mechanisms to capture technical requirements (e.g., integrations, APIs, connectors, data constraints) emerging from use cases.
• Translate and communicate these requirements to platform and infrastructure teams to influence roadmap prioritization and capability development.
• Surface net-new demand signals and emerging use cases to inform strategic platform investments.
• Stakeholder Engagement & Cross-Functional Collaboration Build strong partnerships with business unit-aligned technology leaders, product owners, and risk/governance stakeholders.
• Act as a trusted advisor to accelerate delivery, solve complex or novel use cases, and ensure alignment across stakeholders.
• Collaborate with external vendors and model providers to leverage leading-edge capabilities.
• Risk Management & Governance Alignment Proactively identify risks related to model performance, data handling, compliance, and implementation.
• Ensure adherence to firmwide AI governance, security, and regulatory standards.
• Develop mitigation strategies and implement controls to support safe and responsible AI deployment.
• Performance Monitoring & Reporting Define and track KPIs and success metrics across use cases, including adoption, performance, and business impact.
• Provide regular reporting and insights to stakeholders, highlighting progress, risks, and opportunities for optimization.
• Continuously refine processes and frameworks to improve delivery efficiency and effectiveness.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees