AI Engineering Solutions Architect
New
Remote (US)Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years in Microsoft cloud, data, or application architecture; 3–5 years in pre-sales, advisory, or solution architecture roles.
- Required Skills
- Artificial IntelligenceAzure
Requirements
- 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
- Deep expertise in Azure data platforms (Fabric, Synapse, Data Lake, Data Factory)
- Strong knowledge of Applied AI (Azure OpenAI, RAG, agents, Azure AI Search)
- Experience with Integration patterns (APIM, Event Grid, Functions, Logic Apps, Container Apps)
- Understanding of Power Platform and Copilot Studio governance
- Strong understanding of consulting economics (margin, utilization, fixed-fee vs T&M)
- Ability to produce SOWs, discovery summaries, and DevOps-ready backlogs
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.
- Communicate effectively with executive audiences regarding value, impact, risk, and architecture.
- Shape engagements that balance margin, utilization, and delivery risk.
- Translate AI/Copilot/automation requests into clearly defined problems and value hypotheses.
- Protect delivery teams by identifying risks, gaps, and misaligned client expectations early.
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