Senior AI Platform Engineer

The Team You Will Be JoiningJoin the technology team of a national real estate investment and development firm operating across 20 statesBecome the senior individual contributor responsible for the organization’s enterprise AI and automation platformsSupport a company combining institutional scale with local market expertise across 11 regional officesHelp advance an enterprise-wide Agentic Workspace and Unified Data StrategyJoin at a pivotal stage as the organization moves AI capabilities from pilots into reliable, production-ready solutionsWhat They Offer YouThe opportunity to own enterprise AI and automation platforms from development through productionHigh visibility across the organization with the ability to influence how teams adopt and use AIMeaningful work building agents and automations that solve real operational challengesExposure to Microsoft Azure, AWS, Microsoft 365 Copilot, Copilot Studio, Microsoft Graph and other emerging AI technologiesThe ability to establish platform standards for security, reliability, governance and performanceA senior-level individual contributor role with significant autonomy and end-to-end technical ownershipLocation and Work EnvironmentCharlotte, NC is the preferred location, with a hybrid schedule at the company’s headquartersHighly qualified remote candidates in the Eastern or Central time zones will also be consideredRemote candidates must be able to travel to the Charlotte headquarters as needed, potentially on a quarterly basisThe role partners across technical and non-technical teams throughout the organizationWhy This Role Is ImportantServe as the accountable technical owner for the company’s enterprise AI and automation ecosystemBuild AI agents, enterprise automations and integrations that can move securely from pilot programs into productionCreate the business context layer that grounds AI outputs in accurate, current and permission-appropriate informationReplace manual handoffs with scalable, observable and reliable workflowsEstablish guardrails, evaluation frameworks and monitoring to maintain quality and prevent performance driftStrengthen responsible AI operations through access controls, audit logging, data lineage and change managementHelp employees across the organization understand and responsibly adopt Microsoft Copilot and other AI capabilitiesThe Background That Fits7+ years of experience building and operating production software or automation systemsStrong coding proficiency in Python or a comparable language, including tested, peer-reviewed and version-controlled developmentHands-on experience with large language models, RAG, agent orchestration, tool and function calling, prompt engineering and structured outputsProven ownership of live production systems, including CI/CD, releases, monitoring, rollback, incident response and root-cause remediationStrong integration engineering experience across REST APIs, MCPs, webhooks, authentication, retry logic and troubleshootingExperience developing evaluation frameworks for non-deterministic AI systems and measuring quality, accuracy and regressionWorking knowledge of cloud, identity and security fundamentals, with Microsoft Azure experience strongly preferredExperience with Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, AWS or multi-cloud environments is a strong plus#LI-HW1 Reference: 70397