Azure Cloud & AI Solutions Architect

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Azure Cloud & AI Solutions Architect based in the United States.
The Azure Cloud & AI Solutions Architect will lead strategic presales engagements, helping enterprise clients transform complex business challenges into scalable, secure, and measurable technology solutions. This senior-level role sits at the intersection of Microsoft cloud architecture, artificial intelligence, data platforms, and consulting strategy. You will lead discovery workshops, engage executive stakeholders, and shape solutions across Azure, AI, security, integration, and Power Platform technologies. By connecting business objectives with technical feasibility, you will develop clear solution roadmaps, structured delivery plans, and commercially sound proposals. Working closely with sales and delivery teams, you will help secure new engagements while ensuring realistic scopes, manageable risks, and successful project handoffs. This is a remote opportunity suited to an experienced architect who combines deep technical expertise with strong consulting, communication, and commercial skills.
\Design and present solutions across Microsoft Azure, data platforms, artificial intelligence, cybersecurity, enterprise integration, and Power Platform.
Develop high-quality Statements of Work (SOWs), including scopes, assumptions, dependencies, exclusions, acceptance criteria, and change-control provisions.
Create phased delivery strategies that reduce risk through early validation of data readiness, technical feasibility, security requirements, and implementation constraints.
Translate AI, Copilot, and automation requests into practical use cases, measurable objectives, and clearly articulated business value hypotheses.
Communicate effectively with executive stakeholders, presenting financial value, business impact, and delivery risks to CFO and COO audiences while addressing architecture and feasibility with CTO and CISO stakeholders.
Facilitate technical whiteboarding sessions and defend architectural decisions across cloud infrastructure, data, AI, security, integrations, and Power Platform.
Structure engagements to balance profitability, resource utilization, delivery risk, and commercial considerations, including fixed-fee and time-and-materials models.
Collaborate with sales, delivery, and leadership teams to coordinate opportunities, validate deal readiness, and ensure smooth transitions from presales to implementation.
Identify delivery risks, scope gaps, and misaligned client expectations early, protecting project teams from avoidable complexity and ensuring commitments remain realistic.
Produce concise discovery summaries, phased delivery plans with decision gates, and DevOps-ready backlogs containing estimates, assumptions, and implementation 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 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 Azure data technologies, including Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake, and Azure Data Factory.
Familiarity with applied AI solutions, including Azure OpenAI, retrieval-augmented generation (RAG), AI agents, summarization, Azure AI Search, and AI evaluation strategies.
Understanding of enterprise integration technologies and patterns, including Azure API Management (APIM), Event Grid, Azure Functions, Logic Apps, and Container Apps.
Knowledge of Power Platform and Copilot Studio, including appropriate use cases, limitations, governance, and implementation considerations.
Strong commercial awareness, including engagement margins, resource utilization, fixed-fee and time-and-materials pricing models, and risk allocation.
Familiarity with structured problem-solving or design-thinking frameworks; certifications or training in LUMA, IDEO, IBM Enterprise Design Thinking, Microsoft Catalyst, or equivalent methodologies are desirable.
Experience working with a Microsoft-focused consulting partner is strongly preferred.
Target on-target earnings (OTE): $250,000
Comprehensive medical, dental, and vision insurance.
100% employer-paid employee medical premiums.
Generous and flexible paid time off (PTO).
Retirement plan options.
Ongoing training and professional development opportunities.
Fully remote work environment with flexible work arrangements.
Additional details regarding compensation structure, benefit eligibility, and plan options will be provided during the hiring process.
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