Azure Data & AI Architect

🕒 May 2

🌴 South Carolina – Remote

🌴 South Carolina – Remote

💵 $135k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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eGroup

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2003

🏢 Enterprise

🔒 Cybersecurity

💰 Private Equity Round on 2021-10

Enterprise • Cybersecurity • Cloud

eGroup is a leading provider of IT solutions and an award-winning managed service provider (MSP) specializing in empowering organizations to leverage technology for business success. With a team of experts and a focus on customer-centric approaches, eGroup offers a wide range of services including cloud, hybrid data center, security, data and AI, collaboration, and managed services. It is recognized for its cutting-edge cloud security solutions and its comprehensive range of services aimed at improving business practices through technology.

📋 Description

• Lead End‑to‑End Solution Delivery: Own delivery end‑to‑end: requirements → architecture → design → build → test → deployment • Serve as the technical lead: set engineering standards, unblock delivery, and ensure quality across testing and release • Design and implement AI solutions using Azure AI services (e.g., Azure OpenAI, Cognitive Services, Azure Machine Learning) and, where appropriate, Copilot / Copilot Studio • Emphasize security, governance, and real‑world usability over experimentation for its own sake • Build data platforms using Azure data services (ADF, Databricks, Synapse, ADLS) and/or Microsoft Fabric • Deliver production‑grade pipelines (ETL/ELT), storage and compute patterns, and data models supporting BI and AI workloads • Use Power Platform (Power Apps, Power Automate, Power BI) when it’s the right tool for rapid business value • Partner with engineers and business stakeholders to translate requirements into buildable designs • Coordinate with security and governance teams to ensure solutions meet best practices and client constraints • Communicate architecture decisions — including tradeoffs — in plain language • Act as a trusted advisor: align scope to outcomes, manage expectations, and keep clients informed when things change • Create reusable internal assets (reference architectures, accelerators, playbooks) that improve delivery quality • Stay current on Azure AI and data platform changes and apply learning pragmatically to client solutions • Support early discovery, solution envisioning, and contribution to technical proposals, estimates, and SOWs as needed.

🎯 Requirements

• 10+ years delivering technology solutions, including 5+ years leading data engineering, analytics, or AI work on Azure • Clear evidence of personal ownership — you can explain what you built, why you chose it, and what you’d change next time • Hands‑on experience with Azure AI services and Azure data platforms and/or Microsoft Fabric • Ability to design scalable patterns (lakes, warehouses, modeling) and integrate AI responsibly into workflows • Practical operational mindset (CI/CD and MLOps experience is a plus) • Comfortable working in ambiguity, making tradeoffs explicit, and keeping delivery moving without hand‑holding • Strong client‑facing communicator who can explain complex decisions clearly and lead technical direction confidently • Bachelor’s degree in Computer Science, Engineering, or equivalent professional experience • Consulting or professional services background • Power Platform and Power BI experience • Microsoft Fabric and data governance familiarity • Azure DevOps, CI/CD, and infrastructure‑as‑code experience • Relevant Microsoft certifications • Python used in real production systems • Experience writing and maintaining code for data processing, automation, or model deployment.