Senior AI Platform & Engineering Lead

Cushman & Wakefield; United States; Remote; USD 125,000 - 147,000; Full time

Benefits offered by this job

Health, vision, and dental insurance

Retirement savings plans

Paid time off

Job summary

Cushman & Wakefield seeks a Senior AI Engineer to lead multi-year architectural direction across full-stack systems, cloud platforms, and AI-driven products. You will guide hands-on engineering teams building scalable, enterprise-grade platforms that leverage Databricks, Kubernetes, and modern AI tooling.

You will partner with Product and Operations to drive governance, delivery excellence, and AI-centered product strategy, while mentoring engineers and shaping the technical culture across CW's

Qualifications

• Bachelor’s/Master’s in Computer Science, Engineering, or related field.
• 8+ years of software engineering experience and 3+ years leading technical teams or engineering managers.
• Deep experience with modern full-stack development, cloud-native systems, distributed architectures, and high-scale platforms.
• Demonstrated experience designing and shipping production LLM/AI systems: agentic frameworks, RAG pipelines, text-to-SQL grounding, and AI evaluation harnesses.
• Hands-on expertise with Python, Go, TypeScript/JavaScript, C#, Java, SQL/NoSQL; React, Next.js, Node.js, FastAPI, .NET, Angular Core, microservices, Kubernetes

Responsibilities

• Define multi-year architectural direction across full-stack systems, cloud platforms, and AI-driven products.
• Lead hands-on full-stack & platform engineering teams.
• Oversee CI/CD, automated testing, observability, and security practices.
• Drive AI governance, evaluation, and model quality gates.
• Partner with Product and Operations to align technical strategy with business goals.

Skills

Full-stack development

Cloud-native

Distributed architectures

High-scale platforms

Python

Go

TypeScript/JavaScript

React

Node.js

Education

Bachelor’s/Master’s in CS or related field

Tools

Databricks

Azure Data Lake

Kubernetes

Terraform

GraphQL

Job description

Cushman & Wakefield seeks a Senior AI Engineer to lead multi-year architectural direction across full-stack systems, cloud platforms, and AI-driven products. You will guide hands-on engineering teams building scalable, enterprise-grade platforms that leverage Databricks, Kubernetes, and modern AI tooling.

You will partner with Product and Operations to drive governance, delivery excellence, and AI-centered product strategy, while mentoring engineers and shaping the technical culture across CW's