> Markdown version of [/jobs/ext/3140885-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3140885-senior-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** Cushman & Wakefield - **Location:** Costa Mesa, CA, United States - **Experience:** Expert - **Salary:** $124,780.0 - $146,800.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), .NET Framework, Multitier Architecture, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Cloud Computing Security, Encodings, Continuous Integration, Command-Query Responsibility Segregation (Software Development), DevOps, Distributed Systems, Fault Tolerance, Interoperability, Python (Programming Language), Node.Js, NoSQL, Regression Testing, Prometheus, Zero Trust Network Access, Azure Data Lake, Next.js, Software Engineering, SQL Databases, TypeScript, Management of Software Versions, Datadog, .NET Core, Tailwind, ReactJS, Large Language Models, Grafana, Backend, Fastapi, Event Driven Architecture, Data Lakes, AngularJS, Kubernetes, Information Technology, Apache Kafka, Graphql, Machine Learning Operations, Front End Software Development, Virtual Agents, Restful APIs, Terraform, Grpc, New Relic (SaaS), Serverless Computing, Databricks, Golang, Microservices - **Published:** September 29, 2026 - **Apply:** https://cw.wd1.myworkdayjobs.com/External/job/Costa-Mesa-California-USA/Senior-AI-Engineer_R326402 ## About the Role If you're motivated by technical breadth, architectural influence, and building elite engineering teams - you'll thrive here., 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 - Strong command of DevOps, CI/CD automation, infrastructure-as-code, and observability. --- Leadership Competencies - Strategic engineering thinker who balances innovation with disciplined execution. - Proven ability to mentor engineers, grow high-performing teams, and attract top talent. - Ability to influence product, business, and technical leadership. - Comfortable making architectural decisions that require both technical depth and business awareness. --- Bonus Experience (Highly Attractive) - Distributed event streaming (Kafka, EventHub), CQRS/event-sourcing patterns. - Experience building platforms used across global organizations. ## Description Cushman & Wakefield is investing heavily in modernizing and transforming its global technology platforms - and we are looking for a Sr AI Engineering Lead who wants to own technical direction end to end. AI is the primary differentiator here, not a side feature: you will define how intelligence is embedded across products built on top of a complex, multi-source enterprise data estate spanning a global commercial real estate firm (properties, leases, work orders, capital projects, and occupier analytics)., Technology Strategy & Vision - Define multi-year architectural direction across full-stack systems, cloud platforms, and AI-driven products - focusing on scale, resilience, security, and global performance. - Establish standards for agentic workflows, intelligent search, conversational interfaces, and data-grounded reasoning across CW's enterprise platforms. - Shape engineering roadmaps using best-in-class development stacks (e.g., TypeScript/Node.js, Python, Go, C#, React, Next.js, microservices, event-driven architectures). - Foster a modern engineering culture emphasizing automation, craftsmanship, clean architecture, and continuous improvement. --- Hands-On Full-Stack & Platform Engineering Leadership Guide the design and development of solutions built with: - Frontend: React, Next.js, TypeScript, Tailwind, micro-frontends - Backend: Node.js, Python (FastAPI), Go, .NET Core, event-driven microservices - Cloud & Infra: Azure (preferred), AWS, Kubernetes (AKS/EKS), serverless architectures, Terraform - Data & AI: Databricks (Genie/AI-BI, Mosaic AI Agent Framework, Unity Catalog, Delta Lake, medallion architecture, model serving), Azure Data Lake, vector databases, LLM orchestration and agentic frameworks - APIs: GraphQL, gRPC, REST at scale Drive innovation by embedding AI/ML, automation, production prompt engineering (system prompt architecture, context injection, business-rule encoding, citation and grounding patterns), intelligent workflows, and data interoperability into core products. --- Execution, Quality & Delivery Excellence Champion excellence through best practices: - Enterprise-grade CI/CD (Azure DevOps, ArgoCD) - Automated testing, contract testing, and quality gates - Observability platforms (Prometheus, OpenTelemetry, Grafana, New Relic, Datadog) - Secure-by-design principles, threat modeling, zero trust patterns Oversee engineering delivery across multiple squads - ensuring consistency, velocity, and reliability. --- AI Engineering Standards Define and enforce AI engineering standards across products and external delivery teams: - AI evaluation framework design - golden-question sets, hallucination measurement, regression testing, and model quality gates for production AI systems - Pre-semantic data contracts - schema stability requirements, canonical entity ID definitions, and data quality thresholds that AI systems can depend on - AI governance - access control patterns for confidential and client data, responsible use guardrails, and auditability requirements for AI-generated outputs - LLM system design standards - prompt versioning, context window management, grounding and citation patterns, and failure-mode handling --- Architecture, Governance & Platform Integrity Lead architectural reviews and key design decisions across services, domains, and integrations. Establish patterns for scalability, fault tolerance, global data compliance, and cost optimization. Maintain high standards in coding, cloud security, API governance, and data interoperability. --- Stakeholder Alignment & Technical Influence Partner with Product, Architecture, Operations, and Client Technology to prioritize work, unblock teams, and drive outcomes. Represent engineering in executive and governance forums with clarity around architectural options, tradeoffs, and investment needs. Translate complex engineering realities into clear business insights that support strategic decision-making. ## Related Videos - [Exploring the Power of gRPC-Gateway for Writing RESTful Services](https://www.wearedevelopers.com/videos/2072-exploring-the-power-of-grpc-gateway-for-writing-restful-services) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Boosting OpenSearch Performance: gRPC Search in Action](https://www.wearedevelopers.com/videos/1964-boosting-opensearch-performance-grpc-search-in-action) - [Your next 10x engineer isn't in your city. Refactor accordingly.](https://www.wearedevelopers.com/videos/100103-your-next-10x-engineer-isn-t-in-your-city-refactor-accordingly) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Why Attend a Developer Event in 2026?](https://www.wearedevelopers.com/magazine/688-why-attend-a-developer-event-in-2026)