EI
Senior AI Automation Engineer – Microsoft Copilot
Expert In Recruitment Solutions
- 🇺🇸 United States
- On-site
- Senior
- 19 hours ago
- AI
- Power Platform
- Copilot
- Microsoft Graph
- Dataverse
- Azure AI
- Azure OpenAI
- Microsoft Power Platform
- Power Automate
- REST API
- Azure
- Machine Learning
- Copilot Studio
19 hours ago
Position: Senior AI Automation Engineer – Microsoft Copilot
Focus: Microsoft Copilot Studio, Power Platform, Enterprise AI Integration
Duration: Contract till end of 2026
Location: Remote
Senior AI Automation Engineer – Microsoft Copilot
Position Overview
Charles Schwab is seeking aSenior AI Automation Engineer specializing in Microsoft Copilot to support the development and implementation of enterprise AI and automation solutions. This is a hands-on engineering role focused on building, testing, deploying, and supporting intelligent agents usingMicrosoft Copilot Studio and the broader Microsoft ecosystem.
The ideal candidate will have strong experience developing enterprise-grade Copilot solutions, integrating internal data sources and APIs, and designing reliable AI workflows using prompt engineering, grounding, structured outputs, validation, and guardrails. This individual will work within a large, regulated enterprise environment where security, governance, identity, compliance, and production reliability are critical.
Key Responsibilities
- Design, develop, test, deploy, and support enterprise AI agents usingMicrosoft Copilot Studio.
- Build automated workflows and business processes usingMicrosoft Power Automate and related Power Platform technologies.
- Developprompts, context-engineering strategies, grounding techniques, validation logic, structured outputs, and guardrails to improve the accuracy and reliability of AI solutions.
- Build and integrateAPIs, custom connectors, and enterprise system integrations that allow Copilot agents to securely interact with approved applications and data sources.
- Integrate Copilot solutions with technologies such asMicrosoft 365, Microsoft Graph, Dataverse, SharePoint, Teams, Azure AI, and Azure OpenAI, as applicable.
- Develop knowledge retrieval and grounding approaches that enable AI agents to use enterprise information effectively while respecting permissions and security controls.
- Implement appropriateidentity, role-based access control, security, governance, compliance, and responsible AI practices.
- Perform testing and evaluation of AI agents, including validating responses, workflows, integrations, and expected outputs.
- Support solutions through the full development lifecycle, includingdevelopment, deployment, production readiness, monitoring, troubleshooting, and ongoing enhancement.
- Diagnose issues involving prompts, connectors, APIs, workflows, permissions, grounding, data access, or agent behavior.
- Partner with technical and business stakeholders to translate business processes and use cases into scalable AI-powered solutions.
- Develop solutions appropriate for alarge, highly regulated enterprise environment, with an emphasis on security, reliability, governance, and maintainability.
- Strong hands-on experience withMicrosoft Copilot Studio, including building and deploying enterprise agents.
- Experience withMicrosoft Power Platform, particularlyPower Automate.
- Strong understanding ofREST APIs, API integrations, custom connectors, and enterprise data-source connectivity.
- Hands-on experience integrating Microsoft technologies such asMicrosoft 365, Microsoft Graph, Dataverse, SharePoint, Teams, Azure AI, and/or Azure OpenAI.
- Experience withprompt engineering and context engineering, including grounding, knowledge retrieval, structured outputs, validation, and guardrails.
- Understanding of enterpriseidentity and access management, including authentication, authorization, and role-based access.
- Experience incorporatingsecurity, governance, compliance, and responsible AI requirements into enterprise technology solutions.
- Experience testing, monitoring, troubleshooting, and supporting AI or automation solutions in production environments.
- Demonstrated experience delivering technology solutions within alarge enterprise environment, ideally within financial services or another highly regulated industry.
- Strong problem-solving skills and the ability to troubleshoot across AI, workflow, API, data, and integration layers.
- Experience developing AI-powered solutions withinfinancial services, banking, fintech, insurance, healthcare, or another regulated industry.
- Experience working withAzure OpenAI Service and Azure-based AI solutions.
- Experience implementing retrieval and grounding strategies against enterprise knowledge sources.
- Familiarity with enterprise application authentication and authorization patterns.
- Experience taking Copilot or generative AI solutions fromproof of concept through production deployment and operational support.
- Understanding of AI evaluation approaches, responsible AI principles, and controls designed to improve reliability and reduce inappropriate or inaccurate outputs.
The strongest candidate will be ahands-on Microsoft Copilot engineer, not simply an AI strategist or traditional machine learning engineer. They should have direct experience building solutions inCopilot Studio and Power Automate, connecting agents to enterprise systems throughAPIs and custom connectors, and implementing prompting, grounding, retrieval, validation, and guardrails.
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Senior AI Automation Engineer – Microsoft Copilot · Expert In Recruitment Solutions