VP , P5, Software Eng Mgr : Job Level - Vice President

Summary
The AI Engineer will be responsible for building AI solutions that help a team of program managers move typical project and program management activities from manual, document-heavy processes to AI-assisted operating models. The role will focus on developing tools, agents, workflows, and accelerators that support areas such as status reporting, RAID management, governance preparation, action tracking, dependency management, meeting summarisation, delivery health insights, and executive communications.
The successful candidate should have prior experience working within Morgan Stanley and a strong understanding of the Firm's development environment, engineering practices, controls, tooling, and technology delivery expectations. They should be comfortable developing solutions using Claude Code, GitHub Copilot, AMP, and related internal platforms, while ensuring outputs remain governed, explainable, secure, and suitable for use in a highly regulated financial services environment.
This is a hands-on engineering role, but one that requires strong product thinking, stakeholder empathy, and ideally some project management experience. The solutions developed will be used by program managers leading complex, high-priority technology initiatives, so the candidate must understand how delivery teams operate and how AI can be applied pragmatically to improve day-to-day execution.
What you'll do in the role
> Design, build, test, and maintain AI-enabled tools, workflows, and agents that help program managers automate or streamline common project and program management processes.
> Develop solutions using Claude Code, GitHub Copilot, AMP, and approved Morgan Stanley engineering platforms.
> Translate program management pain points into practical AI use cases, prototypes, reusable components, and production-ready solutions.
> Build AI-assisted capabilities for activities such as status report generation, RAID log analysis, dependency tracking, governance pack preparation, meeting note synthesis, action item extraction, milestone tracking, financial tracking support, and stakeholder communications.
> Create human-in-the-loop and human-on-the-loop workflows that improve efficiency while retaining appropriate oversight, review, and accountability.
> Apply sound software engineering practices, including version control, testing, peer review, secure coding, documentation, and maintainable design.
> Integrate AI solutions with existing delivery tooling where appropriate, including platforms used for project tracking, reporting, documentation, workflow management, or engineering delivery.
> Help assess the suitability, quality, reliability, and limitations of AI-generated outputs before they are introduced into program management workflows.
> Support the creation of reusable prompt patterns, agent workflows, reference implementations, and engineering standards for AI-enabled program management solutions.
> Produce clear technical documentation, user guidance, and support materials to help program managers adopt AI-enabled solutions confidently.
> Contribute to governance, risk, and control considerations for AI solutions, including appropriate review points, auditability, access controls, and data handling. What you'll bring to the role
> Experience working within Morgan Stanley, with a strong understanding of the Firm's technology development environment, tooling, controls, and delivery expectations.
> Hands-on experience developing AI-enabled solutions using tools such as Claude Code, GitHub Copilot, AMP, or comparable AI-assisted engineering platforms.
> Strong software engineering capability, ideally with experience in Python, TypeScript, Java, or other relevant enterprise development languages.
> Experience building practical AI applications, such as agents, workflow automations, document generation tools, summarisation pipelines, retrieval-based applications, or decision-support assistants.
> Familiarity with prompt engineering, AI workflow design, model evaluation, structured outputs, testing AI-generated responses, and managing AI reliability risks.
> Good understanding of software delivery lifecycle practices, including requirements analysis, solution design, development, testing, deployment, documentation, and support.
> Ability to work with ambiguity and convert loosely defined business problems into structured technical solutions.
> Understanding of typical program management activities such as planning, RAID management, dependency tracking, governance reporting, financial tracking, status reporting, and steering committee preparation.
> Awareness of risk, control, data protection, and responsible AI considerations in a financial services environment.

Skills that will help you in the role
> Prior experience in Morgan Stanley Technology or another highly controlled enterprise technology environment.
> Experience with internal developer platforms, CI/CD tooling, source control, secure engineering practices, and enterprise SDLC controls.
> Experience using AI coding assistants to accelerate development while maintaining appropriate code quality, review, and governance.
> Familiarity with program management tools and collaboration platforms such as Jira, Confluence, SharePoint, Teams, Power BI, Tableau, Excel, or related delivery reporting tools.
> Experience developing AI solutions that interact with documents, meeting notes, project plans, status reports, risk logs, or structured delivery data.
> Knowledge of retrieval augmented generation, agentic workflows, tool-calling patterns, structured prompting, evaluation frameworks, or AI guardrail implementation.
> Experience designing solutions that combine automation with human review, approval, exception handling, and escalation points.
> Understanding of technology risk, operational resilience, cybersecurity, controls, regulatory delivery, or large-scale transformation programs.
> Ability to create lightweight prototypes quickly and then harden successful concepts into reusable, supportable solutions.
> Curiosity, creativity, and a strong interest in helping program managers work more effectively through responsible use of AI.

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.