Azure Cloud & AI Solutions Architect
New
J
JobgetherCloud consulting
Based in the United StatesFull-TimeSenior
SalaryTarget on-target earnings (OTE): $250,000 for the advertised US opportunity. Compensation may vary for Canadian-based candidates.
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Job Details
- Experience
- At least 8 years of experience in Microsoft cloud, data, or application architecture, including 3–5 years in presales, advisory, or solution architecture roles.
- Required Skills
- Microsoft Azure
Requirements
- At least 8 years of experience in Microsoft cloud, data, or application architecture.
- 3–5 years of experience in presales, advisory, or solution architecture roles.
- Demonstrated experience leading enterprise discovery sessions, design workshops, and structured client problem-solving engagements.
- Strong technical expertise across Azure cloud architecture, data platforms, AI solutions, enterprise security, integration patterns, and Power Platform.
- Practical knowledge of Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake, and Azure Data Factory.
- Familiarity with Azure OpenAI, retrieval-augmented generation (RAG), AI agents, summarization, Azure AI Search, and AI evaluation strategies.
- Understanding of Azure API Management (APIM), Event Grid, Azure Functions, Logic Apps, and Container Apps.
- Knowledge of Power Platform and Copilot Studio, including use cases, limitations, governance, and implementation considerations.
- Ability to produce clear scopes of work, discovery summaries, phased delivery plans, and delivery-ready backlogs with realistic estimates and assumptions.
- Strong commercial awareness of engagement margins, resource utilization, fixed-fee and time-and-materials pricing models, and risk allocation.
- Strong executive communication, presentation, facilitation, and stakeholder management skills.
- Familiarity with structured problem-solving or design-thinking frameworks; LUMA, IDEO, IBM Enterprise Design Thinking, and Microsoft Catalyst training or certification are desirable.
- Experience with a Microsoft-focused consulting partner is strongly preferred.
- Exposure to Prosci or comparable organizational change management methodologies is an advantage.
Responsibilities
- Lead enterprise discovery sessions to identify business drivers, constraints, stakeholder priorities, and decision-making dynamics.
- Translate client feature requests into business problems, measurable outcomes, and value propositions.
- Design and present solutions across Azure, data platforms, AI, cybersecurity, enterprise integration, and Power Platform.
- Develop Statements of Work with scopes, assumptions, dependencies, exclusions, acceptance criteria, and change-control provisions.
- Create phased delivery strategies that validate data readiness, technical feasibility, security requirements, and implementation constraints.
- Translate AI, Copilot, and automation requests into practical use cases, measurable objectives, and business value hypotheses.
- Present financial value, business impact, delivery risks, and architectural decisions to executive and technical stakeholders.
- Structure engagements around profitability, resource utilization, delivery risk, and fixed-fee or time-and-materials models.
- Coordinate with sales, delivery, and leadership teams to validate deal readiness and transition work to implementation.
- Produce discovery summaries, phased delivery plans with decision gates, and DevOps-ready backlogs with estimates and assumptions.
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