K

KLA

Makes chip inspection and measurement equipment

AI Solutions Specialist

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeAnn Arbor, MI, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, Engineering, Business Technology, or a related field, or equivalent practical experience.
  • Five 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 or 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.
  • Ability to work independently on assigned use cases while collaborating with architects, platform owners, security teams, and business stakeholders.

Responsibilities

  • Design and develop 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.
  • Build and maintain AI extensions, plugins, skills, actions, custom connectors, and workflow automations across approved Microsoft and Google AI platforms.
  • Configure and enhance Microsoft 365 Copilot, Cowork, Scout, SharePoint Agents, Teams Agents, Google Gemini experiences, and future AI capabilities from both ecosystems.
  • Integrate AI solutions with enterprise applications such as SAP, ServiceNow, Snowflake, Workday, Oracle, SharePoint, Dataverse, Google Workspace, APIs, and custom systems.
  • Implement enterprise MCP integrations and AI-powered workflows in alignment with architecture, governance, and platform standards.

Desired 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.

About the Company

KLA

Makes chip inspection and measurement equipment

KLA makes equipment and software that help semiconductor and electronics manufacturers find defects, measure tiny features and improve production yields. Its process control systems inspect wafers and analyze manufacturing data so engineers can identify problems before they spread through a production run. The product portfolio supports chip fabrication, packaging and printed circuit boards, with tools that check materials and finished components throughout manufacturing. KLA earns revenue from equipment sales and related service contracts, including maintenance that keeps customers' installed tools operating reliably. Formed through a merger in 1997, KLA is headquartered in Milpitas, California.

Company size
10,001+
Company stage
IPO
Headquarters
Milpitas, CA
Founded
1997

Recently Posted Jobs

Explore more opportunities at KLA

See more jobs