Senior AI Platform Architect & Engineering Lead

Aimlroles; Costa Mesa (CA); On-site; USD 125,000 - 147,000; Full time

Benefits offered by this job

Health, Vision & Dental Insurance

Flexible Spending Accounts

Health Savings Account

Retirement Savings Plans

Life & Disability Insurance

Paid Time Off

Job summary

Cushman & Wakefield is seeking a Senior AI Engineer to lead the end-to-end technical direction for AI-powered platforms. You will shape architecture across front-end, back-end, cloud, data, and AI components while embedding AI/ML capabilities into core products for a global real estate enterprise.

The role emphasizes technical breadth, leadership, and delivering scalable, secure systems with modern engineering practices. Strong collaboration with product and architecture teams is required.

Qualifications

• Experience designing and shipping production AI systems and agentic frameworks.
• Strong background in full-stack development and cloud-native architectures.
• Proven ability to lead technical teams and influence product direction.

Responsibilities

• Define multi-year architectural direction across full-stack, cloud, and AI products.
• Lead design and delivery of scalable AI-powered solutions for enterprise data estate.
• Mentor engineers, drive standards, and ensure quality, security, and reliability.

Skills

Python

Go

TypeScript/JavaScript

C#

Java

SQL/NoSQL

React

Next.js

Node.js

FastAPI

Kubernetes

Azure

AWS

CI/CD

Observability

LLM/AI systems

AI orchestration

Data governance

Education

Bachelor's/Master's in Computer Science, Engineering, or related field

Tools

Databricks

Unity Catalog

Delta Lake

Terraform

GraphQL

gRPC

Job description

Cushman & Wakefield is seeking a Senior AI Engineer to lead the end-to-end technical direction for AI-powered platforms. You will shape architecture across front-end, back-end, cloud, data, and AI components while embedding AI/ML capabilities into core products for a global real estate enterprise.

The role emphasizes technical breadth, leadership, and delivering scalable, secure systems with modern engineering practices. Strong collaboration with product and architecture teams is required.