Senior AI Platform Engineer

AccruePartners; Charlotte (NC); Hybrid; USD 170,000 - 230,000; Full time

Job summary

AccruePartners is seeking a senior individual contributor to own and operate enterprise AI and automation platforms. The role involves developing and deploying agents and automations that scale from pilots to production, with end-to-end technical ownership and governance across Azure, Copilot, and multi-cloud environments.

You will partner with cross-functional teams across 11 regional offices and hybrid schedules in Charlotte, NC, with remote candidates in Eastern/Central zones who can travel

Qualifications

• 7+ years of experience building and operating production software or automation systems.
• Strong coding proficiency in Python with 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.

Responsibilities

• Own enterprise AI and automation platforms from development through production.
• Build AI agents, enterprise automations and integrations that move from pilot programs into production.
• Create business context layers grounding AI outputs in current, permissible information.
• Replace manual handoffs with scalable, observable, reliable workflows.
• Establish guardrails, evaluation frameworks and monitoring to maintain quality.
• Support responsible AI operations through access controls, audit logging, data lineage and change management.

Skills

Python

LLMs

Agent orchestration

CI/CD

REST APIs

Security fundamentals

Cloud computing

Azure

Copilot

Webhooks

Prompt engineering

Monitoring

Tools

Azure

Copilot Studio

Copilot

Job description

• 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 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

Open