AI Engineering Presales Architect
Cyclotron, Inc.
full-time
Posted on:
Location Type: Remote
Location: United States
Visit company websiteExplore more
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Microsoft AzureData architectureAI architectureSecurity architectureIntegration architecturePower PlatformEnterprise discoverySolution architectureChange-control languagePhased delivery approaches
Soft Skills
Effective communicationLeadershipProblem-solvingStakeholder managementCritical thinkingFacilitationNegotiationAdaptabilityCollaborationPresentation skills