Lead Agentic AI Systems Architect & Product Owner

Morgan Stanley; Alpharetta (GA); On-site; USD 180,000 - 260,000; Full time

Job summary

Morgan Stanley is seeking an innovative Agentic AI Forward Deployed Engineer to shape the next generation of autonomous AI systems. As Lead Technical Product Owner at VP level, you define the product vision, prioritize features, and ensure delivery of high-quality technical solutions within the Technology division.

You will design multi-agent architectures, build agentic workflows, and coach engineering squads to advance enterprise AI adoption safely across the organization.

Qualifications

• 7–12 years in engineering roles with at least 3 years as Lead Engineer/Architect for distributed apps.
• Proficient in Java, C#, or TypeScript/React; Python is a plus.
• Experience with distributed systems, microservices, fault tolerance, and low-latency design.
• Strong experience shipping on hybrid cloud infra (Docker, Kubernetes, AWS or Azure).
• Ability to coach teams and drive enterprise AI adoption safely.

Responsibilities

• Design multi-agent architectures that move beyond QA, enabling autonomous AI with measurable business impact.
• Build agentic frameworks and enable human-in-the-loop or autonomous feedback harnesses.
• Coach engineering squads on prompting, reviewing outputs, and enterprise AI adoption.
• Hands-on programming to develop high-performance code and prototypes for new tech opportunities.

Skills

Distributed systems design

Microservices architecture

High performance/low latency

Asynchronous programming

Java

C#

TypeScript/React

Python

Tools

Docker

Kubernetes

AWS

Azure

CI/CD pipelines

Copilot/OpenAI Codex/Claude Code

LangGraph/OpenAI SDK/Claude SDK

Job description

Morgan Stanley is seeking an innovative Agentic AI Forward Deployed Engineer to shape the next generation of autonomous AI systems. As Lead Technical Product Owner at VP level, you define the product vision, prioritize features, and ensure delivery of high-quality technical solutions within the Technology division.

You will design multi-agent architectures, build agentic workflows, and coach engineering squads to advance enterprise AI adoption safely across the organization.