Senior AI Platform Engineer

AccruePartners, Inc.

• $130K — $155K *
Charlotte, NC 28269In-Person
Real Estate & Construction
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 7+ years experience in production software or automation systems
  • Proficient in Python or similar coding languages
  • Experience with large language models and tool orchestration
  • Ownership of live production systems and CI/CD processes
  • Strong integration experience with REST APIs and authentication
  • Experience in developing evaluation frameworks for AI systems
  • Familiarity with cloud, identity, and security fundamentals, especially Microsoft Azure

Responsibilities

  • Own and manage enterprise AI and automation platforms from development to production
  • Build AI agents and integrations that transition from pilot to production
  • Create a business context layer for AI outputs
  • Replace manual workflows with scalable automated solutions
  • Establish evaluation frameworks and monitoring for quality assurance
  • Implement access controls and data management for responsible AI operations
  • Educate employees on adopting Microsoft Copilot and AI technologies

Benefits

  • Significant autonomy and technical ownership in a senior role
  • High visibility across the organization
  • Opportunity to tackle real operational challenges with technology
  • Exposure to cutting-edge AI tools and platforms
  • Ability to set standards for security and performance of AI solutions
Full Job Description
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
What They Offer You
  • 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
Location and Work Environment
  • 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
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
The Background That Fits
  • 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
#LI-HW1
* Ladders Estimates

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