AI Engineering Presales Architect
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Job Description
AI Engineering Presales Architect at Cyclotron leading cloud solutions and enterprise discovery sessions. Combining technical expertise with executive communication for scalable solutions.
Responsibilities:
- 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 and CTO/CISO audiences (value, impact, risk).
- Shape engagements that balance margin, utilization, and delivery risk.
- Translate AI/Copilot/automation requests into clearly defined problems, measurable outcomes, and value hypotheses.
Requirements:
- 8+ years in Microsoft cloud, data, or application architecture
- 3–5 years in pre-sales, advisory, or solution architecture roles.
- Demonstrated experience leading enterprise discovery or design workshops.
- Comfortable whiteboarding and defending designs across Azure + Data + AI + Security + Power Platform.
- Understands margin, utilization, fixed-fee vs T&M, and risk structuring.
- Clear, concise, and credible with executive stakeholders.
Benefits:
- Base salary plus quarterly bonus
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