Senior AI Engineer — Architect Global AI Platforms

Cushman & Wakefield; California; Vor Ort; USD 125.000 - 147.000; Vollzeit

Benefits dieser Stelle

Health insurance

Dental insurance

Vision insurance

401(k) plan

Paid time off

Zusammenfassung

Cushman & Wakefield seeks a Senior AI Engineer to shape the technical direction of AI-powered platforms across a global real estate technology estate. You will own multi-year architecture, drive AI-enabled product strategies, and lead cross-functional engineering teams to deliver scalable, secure systems.

You will guide full-stack and platform engineering efforts, embedding AI across products, and ensuring excellence in delivery, testing, observability, and governance.

Qualifikationen

• 8+ years of software engineering experience.
• 3+ years leading technical teams or engineering managers.
• Hands-on with modern full-stack development and cloud-native systems.
• Experience shipping production LLM/AI systems and agentic frameworks.

Aufgaben

• Define multi-year architectural direction across full-stack, cloud, and AI-driven products.
• Lead design and delivery of AI-enabled platforms and services.
• Mentor engineers, grow high-performing teams, and influence architecture decisions.
• Partner with Product and Operations to align technical roadmaps with business goals.

Kenntnisse

Leadership

Mentoring

Strategic thinking

Communication

Problem solving

Ausbildung

Bachelor's/Master's in Computer Science/Engineering

Tools

Python

Go

TypeScript/JavaScript

C#

Java

SQL/NoSQL

React

Next.js

Node.js

FastAPI

.NET

Angular Core

microservices

Kubernetes

Azure

AWS

Databricks

Jobbeschreibung

Cushman & Wakefield seeks a Senior AI Engineer to shape the technical direction of AI-powered platforms across a global real estate technology estate. You will own multi-year architecture, drive AI-enabled product strategies, and lead cross-functional engineering teams to deliver scalable, secure systems.

You will guide full-stack and platform engineering efforts, embedding AI across products, and ensuring excellence in delivery, testing, observability, and governance.