AI Engineering Solutions Architect

We’re looking for an AI Engineering Solutions Architect who combines strong technical credibility with exceptional discovery, solution shaping, and executive communication skills. You will lead early-stage engagements, uncover true business drivers, and design responsible, scalable solutions across the Microsoft cloud ecosystem.

Requirements

• Lead 60–120 minute enterprise discovery sessions that surface true drivers, constraints, and decision dynamics.
• Challenge client assumptions respectfully and reframe feature requests into business problems + measurable outcomes.
• Architect credible solutions across Azure, Data, AI, Security, Integration, and Power Platform.
• Produce high-quality SOWs, scopes, assumptions, dependencies, and change-control language.
• Design phased delivery approaches that de-risk early (data readiness, feasibility, security constraints).
• Communicate effectively with CFO/COO audiences (value, impact, risk) and CTO/CISO audiences (architecture, feasibility).
• Shape engagements that balance margin, utilization, and delivery risk.
• Partner with sales and delivery for clean handoffs and deal readiness.
• Translate AI/Copilot/automation requests into clearly defined problems, measurable outcomes, and value hypotheses.
• Support sales, delivery, and leadership through clean handoffs and deal orchestration.
• Protect delivery teams by identifying risks, gaps, and misaligned client expectations early.