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46 of 472 matching

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San Francisco, CA, United States (Hybrid)
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$197k–$278k/yr
1d agoNew

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Agent infrastructureSeniorNew

Senior AI Platform Engineer

AccruePartnersCharlotte, NC, United States (Hybrid)

Posted 1d ago/Full-time/Expires Nov 10, 2026

Apply on company site

Why it matters

The role owns an enterprise Agentic Workspace from pilots through production, including agent orchestration, permission-aware grounding, tool integrations, guardrails, evaluation frameworks and monitoring. It combines agent reliability work with Microsoft Copilot, Azure and multi-cloud platform integration.

About the job

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

Stack

python
azure
aws
mcp
rag
microsoft 365 copilot
copilot studio
azure ai foundry

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