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AI Engineering Solutions Architect at cyclotron. Location Information: USA. Location:.  Remote (US)  . Department:.  Unified AI . Employment Type:.  Full-Time  . Rate:. Base salary plus quarterly bonus. About the Role . 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. . If you thrive at the intersection of AI, cloud architecture, and consulting strategy—this is the role for you. . Core 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 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. . Must-Have Core Skills . Deliverables Production: Produces high-quality SOWs, 1–2 page discovery 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) . Azure data platforms: Fabric, Synapse, Data Lake, Data Factory. . Applied AI: Azure OpenAI (RAG, agents, summarization), Azure AI Search, evaluation strategies. . 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 . AI/Data/Cloud Architect . 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: Demonstrated experience leading enterprise discovery or design workshops. . Design Thinking (Preferred): Certifications such as LUMA, IDEO, IBM Enterprise Design Thinking, Microsoft Catalyst, or equivalent structured problemsolving frameworks. . Consulting Background: Prior experience at a Microsoft-focused consulting partner (e.g., Avanade, Slalom, Deloitte, EY, Accenture) strongly preferred. . Change & Adoption (Preferred): Exposure to Prosci or similar change management methodologies. . Preferred Behavioral Traits . Intellectually honest; doesn’t bluff 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.