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Forward Deployed Ai Engineer Jobs in Kansas (NOW HIRING)

Stripe

$70K - $94K/yr

The new Forward Deployed Engineering team takes the evolution of our consulting services behind the ... Familiarity working with AI APIs and leveraging AI code generation tools to accelerate productivity

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How much do forward deployed ai engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for forward deployed ai engineer in Kansas is $47.83, according to ZipRecruiter salary data. Most workers in this role earn between $38.61 and $55.53 per hour, depending on experience, location, and employer.

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Forward Deployed Ai Engineer jobs near you
Infographic showing various Forward Deployed Ai Engineer job openings in Kansas as of July 2026, with employment types broken down into 70% Full Time, 26% Part Time, and 4% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $99,488 per year, or $47.8 per hour.

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

Saicon Consultants Inc.

Lenexa, KS • On-site

$98K - $134K/yr

Other

Posted 2 days ago

New

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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