Rialto Capital · 9 hours ago
IT - Lead AI and Data Engineer
Miami, FL
Full-time
Onsite
Senior Level, Lead/Staff
7+ years expRialto Capital is a company focused on investment analysis and data-driven solutions. They are seeking a Lead AI and Data Engineer to design and build enterprise AI knowledge bases, lead the integration of third-party data, and mentor a team of engineers in developing scalable AI and data-driven solutions.
Real Estate
Responsibilities
Design and build enterprise AI knowledge bases that unify structured, semi-structured, and unstructured data including internal data and third-party data sources (market data, property data, economic indicators, benchmarks, research) to power investment analysis and LLM-driven applications
Lead the technical evaluation, integration, and ongoing optimization of third-party data vendors, ensuring data quality, coverage, and seamless integration into AI, analytics, and investment workflows
Architect and operate Retrieval-Augmented Generation (RAG) pipelines using vector databases such as Pinecone and Cosmos DB, including embedding strategies, chunking, metadata modeling, multi-stage retrieval, reranking, grounding, and relevance tuning
Build scalable data ingestion and transformation pipelines for internal and external data using SQL / Azure SQL, Cosmos DB (Core and vector workloads), and Microsoft Fabric (Lakehouse, Data Pipelines, Semantic Models)
Develop entity intelligence and feature engineering pipelines for assets, funds, and geographies supporting downstream analytics, modeling, and AI reasoning
Design and maintain graph-based intelligence layers to capture relationships across entities, enabling relationship-aware reasoning, portfolio analysis, and hybrid querying across vector, graph, and relational data
Develop backend services and middleware (Python, Fast API, Node.js) that expose AI and analytics capabilities via secure APIs, including semantic search, document intelligence, investment Q&A, summarization, classification, and analytical services
Integrate and orchestrate LLM workflows using LangChain, LlamaIndex, Semantic Kernel, or custom frameworks, securely connecting enterprise and third-party data with LLM APIs (Azure OpenAI, OpenAI, Anthropic Claude)
Apply machine learning techniques where appropriate (classification, similarity, clustering, forecasting, anomaly detection) to enhance data quality, investment insights, and AI-driven analysis focusing on practical, production-ready models
Lead deployment and operations of AI, data, and analytics platforms on Azure, with deep integration into Azure OpenAI, Cosmos DB, Azure SQL, and Microsoft Fabric, ensuring scalability, fault tolerance, performance, and cost efficiency
Establish governance, reliability, and observability for AI and analytics systems, including LLM evaluation frameworks, retrieval quality metrics, CI/CD pipelines, logging, monitoring, access controls, and compliance with data security and ethical AI standards
Lead and mentor AI and data engineers, setting technical direction across AI platforms, data engineering, and analytics systems
Define architecture standards, design patterns, and documentation for AI, data, and investment analytics platforms
Partner closely with Investment, Asset Management, Research, and Technology teams to translate business problems into scalable AI- and data-driven solutions
Evaluate and adopt emerging technologies in AI, knowledge management, and automation that deliver measurable business impact
Champion a culture that blends strong engineering discipline with modern AI capabilities and continuous improvement, balancing engineering rigor with speed-to-value
Qualification
Required
Bachelor's degree in Computer science, Engineering, Data Science, or a related field required
7+ years of experience across AI engineering, data engineering, backend development, or applied machine learning, with at least 2 years in a senior or technical leadership role
Proven experience building RAG-based systems, AI platforms, and data-driven analytics systems in production
Strong analytical, communication, and interpersonal skills, with an ability to convey complex technical concepts to non-technical stakeholders
Deep hands-on experience integrating LLM APIs (Azure OpenAI, OpenAI, Anthropic Claude), with strong command of RAG architecture, embeddings, retrieval strategies, and orchestration frameworks such as LangChain, LlamaIndex, and Semantic Kernel
Proven expertise designing and operating AI-ready data pipelines using vector databases (Pinecone, Cosmos DB vector, Azure AI Search), relational data stores (SQL / Azure SQL), graph data modeling, and Microsoft Fabric (Lakehouse, pipelines, analytics)
Expertise integrating and operationalizing third-party investment data vendors including integration, entity alignment, and enhancing vendor data into analytics, and investment workflows
Advanced proficiency in Python (FastAPI) and Node.js for designing secure, scalable APIs, asynchronous processing, job orchestration, and service-to-service communication powering enterprise AI systems
Azure-first experience delivering production-grade AI, data, and analytics platforms, including CI/CD pipelines, observability, performance optimization, governance, and cross-functional collaboration
Preferred
Experience working with investment, financial, or real asset data (real estate, credit, capital markets) is highly preferred
Company
Rialto Capital
Rialto is a fully integrated real estate investment management and asset management company with a dedicated special servicer.
201-500 employees
H1B Sponsorship
Rialto Capital 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
2021 (3)
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
CNO Financial Group
2022-04-27Corporate Round
2018-12-03Acquired
Leadership Team
Marshall Van Smith
Chief Financial Officer
Amanda Vega
Chief Compliance Officer
Recent News
2026-01-14
2026-01-09
2026-01-08
Company data provided by crunchbase