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Job Description
About Quinn Residences: Quinn Residences is the leading owner, operator, and developer of purpose-built, dedicated single-family rental communities across the Southeast. Founded in 2020 and headquartered in Atlanta, our mission is to deliver high-quality, well-located homes that offer the best of both worlds: the space and privacy of homeownership with the flexibility and convenience of renting. Each Quinn community is intentionally designed and professionally managed to provide a rich living experience. We offer thoughtfully crafted homes, curated amenities, and a true neighborhood connection, all wrapped in a maintenance-free lifestyle. For more information, visit https://live-quinn.com. Job Title: Lead AI & Data Engineer (Strategy & Implementation) Location: Atlanta, GA (Hybrid/Onsite) About the Role: As the Lead AI & Data Engineer, you will own the technical architecture and strategic roadmap for our next-generation cognitive enterprise. You will act as both a hands-on builder and a key decision-maker, moving us beyond static reporting to autonomous, agentic intelligence. Your primary focus will be to assess our current landscape (Yardi), select the optimal technology stack, and build a scalable Data Lakehouse foundation that powers advanced LLM and agentic workflows. You will collaborate closely with senior business leaders to define the "Build vs. Buy" strategy, manage vendor selection, and lead Organizational Change Management (OCM) to ensure adoption. Ultimately, your work will define the standards for how AI interacts with enterprise data, driving measurable efficiency and automation across the organization. Minimum Qualifications: · Bachelor's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field. · Proven experience designing and building cloud data infrastructure (Data Lakehouse, Medallion Architecture) on platforms like Azure, AWS, or Databricks. · Strong programming skills in Python (for AI/Orchestration) and SQL (for data modeling). · Solid understanding of Generative AI concepts, including RAG (Retrieval-Augmented Generation), vector databases, and LLM orchestration (e.g., LangChain, Semantic Kernel). · Experience acting as a technical advisor to leadership, including translating technical roadmaps into business ROI and budget requirements. · Experience leading technical strategy, including vendor evaluation, roadmapping, and communicating trade-offs to non-technical stakeholders. Preferred Qualifications: · Experience in the Real Estate industry or familiarity with ERP data structures (specifically Yardi). · Deep expertise in the Microsoft ecosystem (Fabric, Synapse, OneLake) as a potential infrastructure route. · Experience with Data Governance tools (e.g., Microsoft Purview) and implementing Role-Based Access Control (RBAC). · Background in Organizational Change Management (OCM) or technical evangelism within a company. · Experience deploying autonomous AI agents that can plan and execute multi-step workflows. Responsibilities: · Partner with business leaders to build a prioritized AI roadmap and manage the selection of vendors and tools ("Build vs. Buy"). · Design and deploy a scalable Data Lakehouse environment to transform raw business data into queryable assets. · Develop and implement autonomous AI agents and RAG systems that can reason, plan, and execute tasks via API tools. · Establish and enforce data governance, compliance, and security standards (RBAC) across the AI estate. · Lead the engineering lifecycle from infrastructure setup to LLMOps (tracing, evaluation, versioning). · Drive Organizational Change Management (OCM) by training internal teams and fostering trust in new AI capabilities. · Translate complex technical concepts into clear business value to secure stakeholder buy-in. Skills: The required skills such as Python and SQL are essential for orchestrating the Data Lakehouse infrastructure and building the backend logic for AI applications. Expertise in Generative AI frameworks (like LangChain or Semantic Kernel) and Vector Database management is applied daily to create agentic workflows that solve specific business problems. Strategic thinking and vendor management are used continuously to ensure the technology roadmap aligns with long-term business goals. Familiarity with Data Governance and OCM methodologies supports the secure scaling of these tools and ensures the organization successfully adopts the new technology. Preferred skills like Real Estate domain knowledge and specific Azure expertise enhance the ability to deliver immediate impact within our existing operational context.
Sprachkenntnisse
- English
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