
AI Solutions Specialist
Ann Arbor, MIJobSeen todaySeen in employer's feed today
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Job overview
KLA’s IT group supports business growth and productivity by connecting people, processes, and technology. The AI Solutions Specialist designs and develops AI agents and business solutions across Microsoft and Google platforms, integrates them with enterprise applications, and implements AI-powered workflows aligned with architecture, governance, and platform standards. The role also calls for experience delivering AI solutions and translating business needs into practical technology solutions.
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Full job description
To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale-faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology. Group/DivisionKLA's IT group supports business growth and productivity by connecting people, process and technology around the world. We work to improve the technology that drives our business to thrive and focus on empowering employee use of technology. This integrated approach to customer service, creativity and technological excellence enhances employee productivity, business analytics and process excellence. What You'll Do In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. Key Responsibilities: Designing and developing AI agents and business solutions using Microsoft Copilot Studio, Microsoft 365 Copilot extensibility, SharePoint Agents, Teams Agents, Azure AI services, Google Gemini, Gemini Enterprise, and Google Workspace AI capabilities Building and maintaining AI extensions, plugins, skills, actions, custom connectors, and workflow automations across approved Microsoft and Google AI platforms Configuring and enhancing Microsoft 365 Copilot, Cowork, Scout, SharePoint Agents, Teams Agents, Google Gemini experiences, and future AI capabilities from both ecosystems Integrating AI solutions with enterprise applications such as SAP, ServiceNow, Snowflake, Workday, Oracle, SharePoint, Dataverse, Google Workspace, APIs, and custom systems Implementing enterprise MCP integrations and AI-powered workflows in alignment with architecture, governance, and platform standards. Preferred Qualifications: Experience building AI agents, copilots, chatbots, workflow automations, or productivity assistants for business users. Hands-on experience with Microsoft Copilot Studio, Copilot, Cowork, Power Platform, Azure AI, Google Gemini, Gemini Enterprise, Google Workspace AI, or Google Cloud AI services. Experience creating proofs of concept, demos, solution documentation, training materials, and user adoption guides. Familiarity with responsible AI practices, data privacy, access control, prompt design, knowledge grounding, and AI governance concepts. Experience integrating AI solutions with enterprise systems such as ServiceNow, SAP, Workday, Snowflake, SharePoint, Dataverse, or APIs. Microsoft, Power Platform, Azure AI, Google Cloud, or Google Gemini certifications are a plus. Minimum Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, Business Technology, or related field, or equivalent practical experience. Five (5) years of experience in software development, automation, business applications, enterprise productivity platforms, solution consulting, or AI-enabled technology delivery. Experience with Microsoft 365, Copilot, Cowork, Power Platform, Copilot Studio, Azure AI, Google Workspace, Google Gemini, or similar enterprise AI/productivity platforms. Ability to gather business requirements, document use cases, and translate business needs into practical technology solutions. Basic understanding of APIs, connectors, workflows, data sources, access controls, and enterprise application integrations. Strong communication, presentation, problem-solving, and stakeholder engagement skills. Ability to work independently on assigned use cases while collaborating with architects, platform owners, security teams, and business stakeholders. About KLA We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, ta
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