What are the responsibilities and job description for the Senior AI Platform Engineer position at AccruePartners?
The Team You Will Be Joining
- Join the technology team of a national real estate investment and development firm operating across 20 states
- Become the senior individual contributor responsible for the organization’s enterprise AI and automation platforms
- Support a company combining institutional scale with local market expertise across 11 regional offices
- Help advance an enterprise-wide Agentic Workspace and Unified Data Strategy
- Join at a pivotal stage as the organization moves AI capabilities from pilots into reliable, production-ready solutions
- The opportunity to own 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
- The 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
- Charlotte, NC is the preferred location, 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
- The role partners across technical and non-technical teams throughout the organization
- 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
- 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, with Microsoft Azure experience strongly preferred
- Experience with Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, AWS or multi-cloud environments is a strong plus