AI Solution Architect

Interested in shaping real AI solutions beyond experiments and demos? Join Morgan Stanley’s Applied AI team and help business stakeholders turn AI ideas into well‑scoped, testable MVPs that can move toward real‑world adoption.

We offer:

The opportunity to work on high‑impact AI use cases at a leading global financial services firm

Hands‑on exposure to generative AI, agentic workflows, and AI prototyping

Close collaboration with business stakeholders, technology teams, and AI specialists

A role at the center of Morgan Stanley’s multi‑year Technology Modernization journey

Contingent/Leased assignment working onsite at Morgan Stanley

Contract via a third‑party agency

You will:

Partner with stakeholders to identify workflows, pain points, and high‑value AI opportunities

Translate ambiguous ideas into clear use cases, requirements, and MVP prototype plans

Support prompt engineering, workflow design, and AI solution prototyping

Design agentic workflows combining model reasoning, tools, data, and human review

Run evaluations to test prompt quality, model behavior, workflow feasibility, and user experience

Assess prototype value, feasibility, risks, limitations, and readiness for investment

Coordinate across business users, technology teams, governance partners, and Forward Deployed Engineers

Prepare use cases for delivery by documenting scope, data needs, dependencies, risks, and business context

Capture reusable patterns, prompt examples, evaluation methods, and lessons learned

Monitor emerging AI trends and apply relevant developments to testing and evaluation approaches

You have:

Hands‑on experience using AI tools such as ChatGPT, Claude, Copilot, or similar platforms

A solid understanding of generative AI concepts, including prompts, agents, context, model outputs, hallucination risk, and evaluation

Systems thinking and the ability to understand how people, processes, data, and technology connect

The ability to explain technical concepts clearly to business audiences

Strong communication and stakeholder management skills

Experience translating business problems into structured technical requirements

Comfort working across business and technology teams

Strong problem‑solving skills and confidence working with ambiguity

The ability to manage multiple initiatives while maintaining clear priorities and delivery momentum

A genuine interest in AI, agentic automation, and innovation

You might have:

Exposure to prompt engineering, user testing, prototyping, or workflow automation

Experience in financial services, consulting, or start‑up environments

An interest in AI evaluations, agentic workflows, responsible AI, or frontier model capabilities

Team profile:

Applied AI sits within Technology Architecture & Modernization and serves as Morgan Stanley’s central AI enablement layer. The team partners with business divisions, use case owners, and technical teams to identify, prioritize, and accelerate high‑value AI initiatives.

Applied AI helps translate ideas into investment‑ready opportunities, embeds expertise across the use case lifecycle, and captures reusable patterns and governance practices to scale AI adoption across the firm.

About us:

Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services.

At Morgan Stanley Budapest, we are shaping the future of our global business and contributing to our local community. Our team works across numerous areas, including Technology, Mathematical Modeling, Finance, Risk Management, Operations and Data & Analytics from our state‑of‑the‑art offices near the Danube.