Azure Cloud & AI Solutions Architect

Accountabilities: Lead structured enterprise discovery sessions lasting 60–120 minutes to identify business drivers, technical constraints, stakeholder priorities, and decision-making dynamics. Challenge assumptions constructively, reframing feature requests into clearly defined business problems, measurable outcomes, and value propositions. Design scalable, secure, and credible solutions across Azure cloud infrastructure, data platforms, AI, application integration, security, and Power Platform. Translate AI, Copilot, and automation opportunities into actionable solution concepts with defined objectives, feasibility considerations, and evaluation strategies. Develop high-quality statements of work (SOWs), discovery summaries, scopes, assumptions, dependencies, change-control provisions, and phased delivery plans. Establish delivery approaches with clear milestones and decision gates to reduce risks related to data readiness, feasibility, security, and implementation complexity. Communicate solution value, business impact, and commercial risks to CFOs and COOs while presenting architectural decisions and technical feasibility to CTOs and CISOs. Shape engagements that balance profitability, resource utilization, delivery risk, and appropriate commercial models, including fixed-fee and time-and-materials arrangements. Collaborate with sales, delivery teams, and leadership to coordinate opportunities, ensure deal readiness, and facilitate effective project handoffs. Identify scope gaps, technical risks, and misaligned client expectations early to protect delivery teams and support successful project execution. Produce DevOps-ready backlogs with estimates and assumptions, and confidently whiteboard and defend proposed architectural designs. Requirements At least 8 years of experience in Microsoft cloud, data, or application architecture, including 3–5 years in presales, advisory, or solution architecture roles. Demonstrated experience facilitating enterprise discovery sessions, consulting engagements, or solution design workshops. Strong knowledge of Azure data platforms, including Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake, and Azure Data Factory. Practical understanding of applied AI technologies, including Azure OpenAI, retrieval-augmented generation (RAG), AI agents, summarization, Azure AI Search, and AI evaluation strategies. Experience with integration technologies and patterns such as Azure API Management (APIM), Event Grid, Azure Functions, Logic Apps, and Container Apps. Knowledge of Power Platform and Copilot Studio, including appropriate use cases, governance requirements, and situations where alternative approaches are preferable. Ability to translate complex business needs into well-defined technical architectures, measurable outcomes, enforceable scopes, and realistic delivery plans. Strong commercial awareness, including understanding of project margins, utilization, fixed-fee and time-and-materials models, and risk allocation. Excellent communication and stakeholder management skills, with the ability to engage credibly with both business executives and technical leaders. Familiarity with structured problem-solving and design-thinking frameworks, such as LUMA, IDEO, IBM Enterprise Design Thinking, Microsoft Catalyst, or equivalent approaches. Exposure to Prosci or similar change management methodologies is an advantage. Previous experience working with a Microsoft-focused consulting partner is strongly preferred. Benefits Compensation: Target on-target earnings (OTE) of approximately US$250,000, with rates varying for Canada. Remote work: Fully remote working arrangement. Health coverage: Medical, dental, and vision insurance. Medical premiums: 100% of employee medical premiums covered. Paid time off: Generous, flexible paid time off. Retirement: Retirement plan options. Professional development: Ongoing training and opportunities for continuous learning. Work-life balance: Flexible working arrangements and wellness programs. Inclusive environment: A commitment to diversity, equity, inclusion, and equal employment opportunities.