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ROLE OVERVIEW
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Role: Architect and deploy enterprise-grade AI/ML and LLM-driven systems that power intelligent automation and decision support across global commercial real estate platforms.
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APPLY
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COMPENSATION & WORK DETAILS
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Salary: $124,780.00 - $146,800.00
Pay Type: Annual
Salary Band: [$5k+/mo]
Work Type: Full-Time
Location: [US Only]
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KEY TASKS
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Key Tasks: Define AI strategy and reference architectures, design and deploy AI/ML systems, integrate LLMs and multimodal models into enterprise platforms, build vector search and retrieval pipelines, implement MLOps and LLMOps practices, engineer AI microservices and APIs, establish AI governance and responsible AI standards, develop intelligent automation for real estate workflows, collaborate with product and executive stakeholders
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QUALIFICATIONS
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Qualifications: 5–7+ years production AI/ML engineering experience, advanced Python expertise, experience with TypeScript/Node.js and SQL/PySpark, cloud AI platform experience (Azure ML preferred), LLM and multimodal AI integration experience, knowledge of vector databases and event-driven architecture, strong software engineering fundamentals, Bachelor’s or Master’s in Computer Science or related field
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TOOLS & CLIENT
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Tools: Python, TypeScript, Go, Rust, TensorFlow, PyTorch, JAX, Keras, LangChain, Semantic Kernel, LlamaIndex, Databricks, Azure ML, Azure Synapse, Delta Lake, Azure OpenAI, Anthropic, Llama, Mistral, Pinecone, CosmosDB, FAISS, Weaviate, Kafka, Event Hub
Client Type: Enterprise Commercial Real Estate
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ROLE TAGS
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Category: [Engineering & Development]
Sub-Category: [AI Engineering] [Machine Learning] [Cloud AI Platforms] [Enterprise Architecture]
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