Note: The job is a remote job and is open to candidates in USA. Cyclotron is a Microsoft Solutions Partner focused on the modern workplace, data, and AI. The AI Engineering Solutions Architect will drive sales wins through enterprise discovery, responsible solution architecture, solution shaping, executive communication, and presales collaboration across the Microsoft cloud ecosystem.
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
Skills
- 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
- 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
- Prior experience at a Microsoft-focused consulting partner (e.g., Avanade, Slalom, Deloitte, EY, Accenture) strongly preferred
Benefits
- Competitive health, dental, and vision insurance
- 100% coverage of employee medical premiums
- Generous and flexible paid time off (PTO)
- Retirement plan options
- Ongoing training opportunities
- Fully remote work environment
- Flexible work arrangements
- Robust wellness programs
Company Overview
Company H1B Sponsorship