AI Engineering Solutions Architect
New
Fully remote role within the United States.Full-TimeSenior
Salary250,000 USD per year OTE
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Job Details
- Experience
- 8+ years of experience in Microsoft cloud, data, or application architecture, with 3–5+ years in pre-sales, solution architecture, or consulting roles.
- Required Skills
- Azure
Requirements
- 8+ years of experience in Microsoft cloud, data, or application architecture, with 3–5+ years in pre-sales, solution architecture, or consulting roles.
- Proven experience leading enterprise discovery workshops and shaping technical solutions from ambiguous requirements.
- Strong expertise across Azure architecture, including data platforms (Fabric, Synapse, Data Lake, Data Factory) and integration services.
- Hands-on understanding of applied AI solutions, including Azure OpenAI (RAG, agents), Azure AI Search, and AI evaluation approaches.
- Experience designing integration and automation solutions using tools such as Logic Apps, Event Grid, Functions, APIM, and Container Apps.
- Strong executive communication skills with the ability to influence CFO-, COO-, CTO-, and CISO-level stakeholders.
- Familiarity with consulting frameworks (e.g., Microsoft Catalyst, Design Thinking, LUMA) and change management methodologies (e.g., Prosci).
- Preferred background in Microsoft consulting partners such as Avanade, Deloitte, Accenture, EY, or Slalom.
Responsibilities
- Lead enterprise discovery sessions to uncover business drivers, constraints, and decision-making dynamics across complex client environments.
- Translate ambiguous business challenges into clear problem statements, measurable outcomes, and AI-enabled solution strategies.
- Design end-to-end architectures across Azure, Data, AI, Integration, Security, and Power Platform ecosystems.
- Develop high-quality solution artifacts including SOWs, phased delivery plans, assumptions, dependencies, and risk-managed proposals.
- Structure engagement approaches that balance technical feasibility, delivery risk, commercial margin, and implementation scalability.
- Communicate effectively with executive stakeholders, tailoring messaging for both business leaders and technical leaders.
- Partner closely with sales and delivery teams to ensure smooth handoffs, deal alignment, and execution readiness.
- Identify delivery risks early and proactively protect downstream teams by setting realistic expectations and clear solution boundaries.
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