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Artificial Intelligence Lead (Engineer) jobs in United States
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Cushman & Wakefield · 8 hours ago

Artificial Intelligence Lead (Engineer)

Cushman & Wakefield is a global leader in real estate services, and they are seeking an Artificial Intelligence Lead (Engineer) to architect and operationalize next generation AI systems. This role involves defining AI strategies, engineering AI solutions, and ensuring governance and security for AI/ML assets within the real estate domain.
CommercialCommercial Real EstateConsultingLeasingLegalProperty Management
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H1B Sponsor Likelynote

Responsibilities

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
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
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
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
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

Qualification

AI/ML solutionsPythonCloud AI platformsMachine learningTypeScriptData modelingAPI developmentEvent-driven architectureCross-functional innovationExceptional communication

Required

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

Benefits

Health, vision, and dental insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life, and disability insurance programs
Paid and unpaid time away from work

Company

Cushman & Wakefield

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Cushman & Wakefield is a real estate services firm that offers retail investment, energy management, and property services.

H1B Sponsorship

Cushman & Wakefield has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (6)
2023 (2)
2022 (6)
2021 (1)
2020 (2)

Funding

Current Stage
Public Company
Total Funding
$734.8M
Key Investors
GreystoneCitizens BankVanke
2023-10-10Post Ipo Debt· $223.8M
2023-08-08Post Ipo Debt· $400M
2022-10-13Post Ipo Debt· $27.3M

Leadership Team

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Matthew Bouw
CEO Asia Pacific & EMEA
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Michelle M. MacKay
CEO
Company data provided by crunchbase