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