What are the responsibilities and job description for the Senior AI Forward Deployed Engineer (Microsoft Copilot & Enterprise AI) position at Saicon?
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.
- 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.
- 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.