AI Engineering Solutions Architect

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.

Qualifications

• Experience: 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.
• Certifications such as LUMA, IDEO, IBM Enterprise Design Thinking, Microsoft Catalyst, or equivalent structured problem solving frameworks.
• Prior experience at a Microsoft-focused consulting partner (e.g., Avanade, Slalom, Deloitte, EY, Accenture) strongly preferred.
• Exposure to Prosci or similar change management methodologies.
• Produces high-quality SOWs, 1–2 page discovery summaries, phased delivery plans with gates, and DevOps-ready backlogs with estimates and assumptions.
• Ability to steer conversations past feature requests into true needs and drivers.
• Writes clear, enforceable scopes with realistic boundaries and measurable outcomes.
• 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.
• 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.

About the Company

Cyclotron is a Microsoft Solutions Partner focused on the modern workplace, data, and AI. We are dedicated to empowering clients to streamline operations and achieve their business goals. The company fosters a collaborative and inclusive environment, encouraging continuous learning and professional growth for its employees. Cyclotron’s mission is to deliver reliable, forward-thinking technology solutions that drive success for clients across various industries.

What We Can Offer

Cyclotron offers a comprehensive benefits package designed to support our employees’ well-being and professional growth in a fully remote work environment. We provide competitive health, dental, and vision insurance, and we cover 100% of employee medical premiums. Our team members benefit from generous and flexible paid time off (PTO), retirement plan options, and ongoing training opportunities. Additionally, Cyclotron promotes work-life balance with flexible work arrangements and robust wellness programs, creating a rewarding and supportive workplace for all.

Cyclotron is an Equal Opportunity Employer

Cyclotron values diversity, equity and inclusion, and aims to practice DE&I in all that we do.