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Internship Robotic Process Automation Jobs in Kansas

OTSI

Staff Engineering Technician

Overland Park, KS · On-site

... RPA, DevOps) • QA & Automation (Manual Testing, Non-functional testing, Test Automation, Digital Testing) • Enterprise Applications (SAP, Java Full stack, Microsoft, Custom Development) • ...

Britt Medical Search

Radiology Physician

Hutchinson, KS · On-site

$277K - $347K/yr

Joining 2 Radiologist with a RPA Compensation & Benefits include: * Collaborate with top primary care and specialist * Enjoy a greater work life balance * Have the freedom of a physician-owned ...

Actalent

Automation Engineer

Kansas City, KS

$45 - $60/hr

Create, document, and maintain standard processes, metrics, and best practices for deployment and ... Experience with robotics and programming related to automation and material handling systems.

New

Purple Cow Recruiting

Market Manager

Wichita, KS · On-site

$50K - $55K/yr

Knowledge of SSL, SLII, and RPA Leadership Models REQUIRED * Microsoft Word, Excel, Outlook, and CRM Proficiency REQUIRED * Ability to Work Independently and Make Sound Business Decisions REQUIRED

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Senior AI Forward Deployed Engineer (Microsoft Copilot & Enterprise AI)

Saicon Consultants Inc.

Lenexa, KS • On-site

$98K - $134K/yr

Other

Posted 4 days ago

Job description

Job Description:
Our client is scaling its use of Microsoft Copilot as part of a broader enterprise AI transformation initiative. We''re looking for a Senior AI Forward Deployed Engineer (FDE) to embed directly with the client''s technical and business teams, own the end-to-end delivery of Copilot-powered solutions, and help shape the client''s wider AI roadmap. This is a hands-on, client-facing role for someone who can move fluidly between writing code, designing architecture, and advising stakeholders.
What You''ll Do
  • Embed onsite with the client to scope, design, and deliver solutions built on Microsoft Copilot (M365 Copilot, Copilot Studio, and related Microsoft AI/Power Platform tooling).
  • Build and deploy custom copilots, plugins, and agents that integrate with the client''s enterprise data, systems, and workflows.
  • Lead adoption and change management for Copilot rollout across business units — training, enablement, and driving measurable usage outcomes.
  • Partner with client stakeholders (IT, business unit leads, and executives) to identify high-value AI use cases beyond Copilot and translate them into technical roadmaps.
  • Act as the technical point of contact on the ground — troubleshoot issues in real time, iterate quickly based on user feedback, and adapt solutions to the client''s evolving needs.
  • Ensure solutions align with the client''s security, compliance, and data governance requirements (Microsoft 365, Azure AD/Entra, data residency, etc.).
  • Document architecture, decisions, and playbooks so solutions are maintainable by the client''s internal team post-engagement.
What We''re Looking For
  • 5–8+ years in software engineering, solutions architecture, or a forward-deployed/customer-facing technical role.
  • Hands-on experience with Microsoft Copilot (M365 Copilot and/or Copilot Studio) or comparable enterprise AI/LLM deployment experience, with strong ability to ramp quickly.
  • Practical experience building on the Microsoft ecosystem: Power Platform, Azure OpenAI/Azure AI Foundry, Graph API, SharePoint, Teams, and Entra ID.
  • Proven track record scoping and delivering technical projects directly with enterprise clients or internal business stakeholders — comfortable owning ambiguity.
  • Strong communication skills; able to translate technical tradeoffs for non-technical executives and translate business goals into technical specs.
  • Experience with change management and driving adoption of new tools across a large user base.
  • Solid understanding of enterprise data governance, security, and compliance considerations for AI deployments.
Nice to Have
  • Prior experience as a Forward Deployed Engineer, Solutions Engineer, or Implementation Consultant at an enterprise software or AI company.
  • Microsoft certifications (e.g., Power Platform, Azure AI Engineer Associate, Microsoft 365 Certified).
  • Experience with broader enterprise AI/automation platforms beyond Microsoft (e.g., other LLM providers, RPA tools).
  • Background in management consulting or client-facing professional services.

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