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AI Engineering Solutions Architect
- New York, New York, United States
- New York, New York, United States
À propos
If you thrive at the intersection of AI, cloud architecture, and consulting strategy—this is the role for you.
Core Responsibilities
Lead 60–120 minuteenterprise 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 anddealreadiness.
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 byidentifyingrisks, gaps, andmisalignedclient expectations early.
Must-Have Core Skills
Deliverables Production:Produces high-quality SOWs, 1–2 pagediscovery summaries, phased delivery plans with gates, and DevOps-ready backlogs with estimates and assumptions
Enterprise Discovery Leadership:Ability to steer conversations past feature requests into true needs and drivers.
SOW + Scope Engineering:Writes clear, enforceable scopes with realistic boundaries and measurable outcomes.
Microsoft Architecture Breadth:Comfortable whiteboarding and defending designs across Azure + Data + AI + Security + Power Platform.
Consulting Economics:Understands margin,utilization, fixed-fee vs T&M, and risk structuring.
Executive Communication:Clear, concise, and credible with executive stakeholders.
Technical Expertise (Microsoft Stack) Integration patterns:APIM, Event Grid, Functions, Logic Apps, Container Apps.
Power Platform & Copilot Studio:when to use, when not to, and governance considerations.
Preferred Background Candidates often come from Microsoft-focused consulting environments (e.g., Avanade, Slalom, EY, Deloitte, Accenture) with experience as:
Solution Architect
Engagement Lead
Pre-Sales Engineer or Advisory Consultant
Qualifications
Experience:8+ years in Microsoft cloud, data, or application architecture; 3–5 years in pre-sales, advisory, or solution architecture roles.
Discovery & Workshop Facilitation:Demonstratedexperience leading enterprise discovery or design workshops.
Design Thinking (Preferred):Certifications such as LUMA, IDEO, IBM Enterprise Design Thinking, Microsoft Catalyst, or equivalent structuredproblemsolvingframeworks.
Consulting Background:Prior experience at a Microsoft-focused consulting partner (e.g., Avanade, Slalom, Deloitte, EY, Accenture)stronglypreferred.
Intellectually honest;doesn’tbluff or oversell.
Direct but respectful—able to challenge clients constructively.
Structured operator: agendas, follow-ups, clarity, commitments.
Protects delivery teams through realistic scoping and expectations.
Builds lasting trust through clarity and value-first thinking.
Cyclotron is an Equal Opportunity Employer. Cyclotron values diversity, equity and inclusion, and aims to practice DE&I in all that we do.
What's your citizenship / employment eligibility?
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Compétences linguistiques
- English
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