Senior AI Solutions Architect

Senior AI Solutions Architect (Microsoft Ecosystem)

Location: Roswell, GA (Hybrid)

On-Target Earnings (OTE): $155,000 – $175,000

We are seeking a Senior AI Solutions Architect to design, build, and operationalize AI-driven solutions across the enterprise. This is a highly visible, hands‑on role responsible for translating business needs into scalable data and AI capabilities.

You will work across the full lifecycle, from data integration and architecture to AI model deployment and workflow automation, leveraging the Microsoft ecosystem, including Azure, Microsoft Fabric, Power Platform, and Azure OpenAI.

This role is ideal for a builder who thrives in ambiguity, moves quickly from concept to production, and is passionate about embedding AI into real business processes to drive measurable impact.

• Design, prototype, and deploy AI-powered solutions using Azure OpenAI and Azure AI Studio
• Deliver high-impact use cases such as RFP automation, knowledge assistants, and support automation
• Translate business problems into scalable AI solutions that drive efficiency and growth
• Build and maintain a unified data foundation using Microsoft Fabric, Azure Data Factory, and Azure Data Lake
• Identify and resolve data quality, accessibility, and integration challenges

• Develop dashboards and reporting solutions using Power BI to support executive decision-making
• Define and track KPIs to measure AI impact (e.g., time savings, revenue enablement, process efficiency)
• Convert complex data into clear, actionable insights for business leaders

• Implement workflows and automations using Power Automate and Logic Apps
• Build internal AI tools and assistants using Copilot Studio and Microsoft 365 Copilot
• Embed AI into daily workflows to drive adoption across departments

• Partner with stakeholders across Sales, Marketing, Finance, Product, and Operations
• Influence and align teams without direct authority to drive execution
• Act as a bridge between technical capabilities and business outcomes

• 5–10+ years of experience in data engineering, AI/ML, analytics, or solution architecture
• Proven experience delivering end-to-end data or AI solutions in a business environment
• Experience working across multiple functions (e.g., revenue, operations, product, finance)

• Strong experience with Microsoft technologies, including:
• Power BI
• Power Platform (Power Automate, Logic Apps)
• Microsoft Purview (data governance)
• Experience with APIs, data pipelines, and system integrations
• Familiarity with modern data architectures and cloud-based platforms

• Hands‑on builder with the ability to move from idea to execution quickly
• Strong analytical mindset with a focus on solving real business problems
• Excellent communication skills with the ability to simplify complex concepts
• Comfortable operating in ambiguous, fast‑paced environments
• High ownership, accountability, and urgency

• AI solutions deployed and actively used across multiple departments
• Measurable improvements in efficiency, speed, and revenue‑related outcomes
• A scalable, well‑governed data foundation supporting ongoing AI innovation
• Strong alignment and adoption across business stakeholders