Senior AI Platform Engineer

Team You Will Be Joining

Join the technology team of a national real‑estate investment and development firm operating across 20 states. You will become the senior individual contributor responsible for the organization’s enterprise AI and automation platforms, supporting a company that combines institutional scale with local market expertise across 11 regional offices. This role helps advance an enterprise‑wide Agentic Workspace and Unified Data Strategy, moving AI capabilities from pilots into reliable, production‑ready solutions.

What They Offer

• Ownership of enterprise AI and automation platforms from development through production.
• High visibility across the organization with the ability to influence how teams adopt and use AI.
• Meaningful work building agents and automations that solve real operational challenges.
• Exposure to Microsoft Azure, AWS, Microsoft 365 Copilot, Copilot Studio, Microsoft Graph, and other emerging AI technologies.
• Ability to establish platform standards for security, reliability, governance, and performance.
• A senior‑level individual contributor role with significant autonomy and end‑to‑end technical ownership.

Location and Work Environment

Preferred location is Charlotte, NC, with a hybrid schedule at the company’s headquarters. Highly qualified remote candidates in the Eastern or Central time zones will also be considered; remote candidates must be able to travel to the Charlotte headquarters as needed, potentially on a quarterly basis.

Why This Role Is Important

• Serve as the accountable technical owner for the company’s enterprise AI and automation ecosystem.
• Build AI agents, enterprise automations, and integrations that can move securely from pilot programs into production.
• Create the business‑context layer that grounds AI outputs in accurate, current, and permission‑appropriate information.
• Replace manual handoffs with scalable, observable, and reliable workflows.
• Establish guardrails, evaluation frameworks, and monitoring to maintain quality and prevent performance drift.
• Strengthen responsible AI operations through access controls, audit logging, data lineage, and change management.
• Help employees across the organization understand and responsibly adopt Microsoft Copilot and other AI capabilities.
• Partner across technical and non‑technical teams throughout the organization.

Qualifications

• 7+ years of experience building and operating production software or automation systems.
• Strong coding proficiency in Python or a comparable language, including tested, peer‑reviewed, and version‑controlled development.
• Hands‑on experience with large language models, RAG, agent orchestration, tool and function calling, prompt engineering, and structured outputs.
• Proven ownership of live production systems, including CI/CD, releases, monitoring, rollback, incident response, and root‑cause remediation.
• Strong integration engineering experience across REST APIs, MCPs, webhooks, authentication, retry logic, and troubleshooting.
• Experience developing evaluation frameworks for non‑deterministic AI systems and measuring quality, accuracy, and regression.
• Working knowledge of cloud, identity, and security fundamentals; Microsoft Azure experience strongly preferred.
• Experience with Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, AWS, or multi‑cloud environments is a strong plus.