Artificial Intelligence Lead (Engineer)

Cushman & Wakefield

1d

About The Position

The AI Strategic Engineering Specialist is a visionary technologist responsible for architecting, engineering, and operationalizing next generation AI systems that transform how C&W supports Global Occupier clients. This role sits at the intersection of advanced AI/ML engineering, real estate domain strategy, data platform architecture, and product innovation, owning the full lifecycle of intelligent automation and decision enhancing capabilities. The successful candidate is a hands-on leader fluent in modern AI stacks, enterprise data engineering, and real estate business value creation — capable of translating emerging technologies into scalable, secure, and responsible AI solutions deployed across C&W’s global technology ecosystem.

Requirements

• Bachelor’s or Master’s in Computer Science, AI, Data Engineering, or related field.
• 5–7+ years hands-on experience building production AI/ML solutions.
• Expertise with: Python (advanced) TypeScript/Node.js SQL, PySpark Cloud AI platforms (Azure ML strongly preferred)
• Experience integrating LLMs and multimodal AI into enterprise applications.
• Deep understanding of: Machine learning, deep learning, and generative AI Data modeling & distributed compute Vector databases (Pinecone, CosmosDB, FAISS, Weaviate) Event‑driven architectures (Kafka, Event Hub) API-first development and microservices
• Strong software engineering fundamentals (design patterns, testing, secure coding).
• Exceptional communication and storytelling with business leaders.
• Ability to translate complex data and models into clear insights.
• High comfort operating in fast-paced, ambiguous environments.
• Demonstrated ability to drive cross-functional innovation.
• Passion for building technology that enhances human experiences and operational efficiency.

Responsibilities

• AI Strategy & Technical Vision Define and evolve the AI strategy supporting GOS Tech, shaping how LLMs, multimodal models, predictive analytics, and agent-based automation drive value in workplace, portfolio, transactions, sustainability, and FM operations.
• Evaluate and implement cutting-edge AI technologies including: LLMs (Azure OpenAI, Anthropic, Llama, Mistral) Multimodal models (Vision‑Language, Document Understanding, Mapping & Sensor data) Graph neural networks for corporate portfolio optimization Reinforcement learning for FM process orchestration
• Identify opportunities where AI can augment consultant workflows, reduce operational friction, and unlock new service delivery models across the occupier lifecycle.
• Develop reference architectures for: AI microservices Model serving infrastructure Vector search & retrieval pipelines Real‑time event-driven AI applications
• Advanced Engineering & Delivery Design, engineer, and deploy AI/ML systems using modern programming languages and frameworks, including: Python, TypeScript, Go, Rust TensorFlow, PyTorch, JAX, Keras LangChain, Semantic Kernel, LlamaIndex Databricks, Azure ML, Azure Synapse, Delta Lake
• Build robust pipelines for ingestion, transformation, and ML feature extraction from real estate datasets (leases, occupancy, transactions, IoT telemetry, operational workflows, and finance).
• Engineer enterprise‑grade APIs and microservices enabling AI capabilities across GOS platforms.
• Implement MLOps and LLMOps practices: CI/CD for models & prompts Drift detection Model monitoring & evaluation Annotation workflows & human feedback loops
• Convert data science prototypes into production-scale AI systems optimized for latency, accuracy, and cost.
• Governance, Security & Responsible AI Establish strong governance for AI/ML assets including: Model lineage Data quality controls Automated testing for prompts & models Fairness, bias detection, and interpretability
• Partner with InfoSec, Data Privacy, and Enterprise Architecture to ensure compliance with global standards.
• Create reusable frameworks, components, and accelerators that enhance delivery speed while ensuring platform consistency.
• Real Estate–Specific Innovation Develop intelligent features that improve decision-making in: Transaction modeling Lease abstraction & document automation Workplace experience analytics Space demand forecasting Facility optimization & predictive operations Portfolio scenario modeling
• Build advanced copilots, agents, and workflow automation for internal teams and client-facing experiences.
• Stakeholder Engagement & Leadership Partner with Product, UX, and Delivery teams to prototype AI experiences and validate business value with end users.
• Communicate complex AI system behavior and tradeoffs in clear, executive-ready language.
• Support client engagements by articulating AI capabilities, constraints, and strategic opportunities.
• Serve as a thought leader in AI for real estate, helping shape C&W’s position in the market.

Benefits

• Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work.
• In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level