Azure Data & AI Architect - Remote US

eGroup is a remote‑first technology consulting organization and Microsoft partner, focused on delivering thoughtful, reliable solutions while building lasting relationships—with our clients and with one another. We are a nine‑time Microsoft Partner of the Year award winner, reflecting our deep technical expertise and commitment to excellence. Our people are at the center of our success, and we believe great work happens when employees feel trusted, supported, and respected. We are committed to integrity, collaboration, accountability, and creating an inclusive workplace where individuals can do meaningful work and continue to grow.eGroup is hiring a Azure Data & AI Architect to design and personally deliver modern data and AI solutions in the Microsoft ecosystem (Azure AI services, Microsoft Fabric, and Azure data platforms).This is a hands‑on consulting role — approximately 80% delivery / build work, with the remainder focused on continuous learning and occasional pre‑sales support.You’ll work directly with clients to understand their goals, translate ambiguity into a clear technical plan, and deliver solutions that are secure, scalable, and explainable to both technical and non‑technical stakeholders.This role is not research‑only, prompt‑only, or slideware‑focused. You will be expected to ship real solutions.This role is client‑facing. Clear, timely communication and follow‑through are part of the job.We review applications for specificity and real project ownership. If your application is generic, overly polished, or doesn’t show what you built, it will not move forward.Application requirement: Please answer the three short questions within this posting. Applications without these answers will not be reviewed.Key ResponsibilitiesLead End‑to‑End Solution DeliveryOwn delivery end‑to‑end: requirements → architecture → design → build → test → deploymentServe as the technical lead: set engineering standards, unblock delivery, and ensure quality across testing and releaseArchitect AI SolutionsDesign and implement AI solutions using Azure AI services (e.g., Azure OpenAI, Cognitive Services, Azure Machine Learning) and, where appropriate, Copilot / Copilot StudioEmphasize security, governance, and real‑world usability over experimentation for its own sakeDevelop Modern Data PlatformsBuild data platforms using Azure data services (ADF, Databricks, Synapse, ADLS) and/or Microsoft FabricDeliver production‑grade pipelines (ETL/ELT), storage and compute patterns, and data models supporting BI and AI workloadsLeverage Automation & Power Platform (Bonus Skill)Use Power Platform (Power Apps, Power Automate, Power BI) when it’s the right tool for rapid business valuePower Platform experience is a plus, not the primary focusCollaborate Across TeamsPartner with engineers and business stakeholders to translate requirements into buildable designsCoordinate with security and governance teams to ensure solutions meet best practices and client constraintsClient Engagement & CommunicationCommunicate architecture decisions — including tradeoffs — in plain languageAct as a trusted advisor: align scope to outcomes, manage expectations, and keep clients informed when things changeInnovation & IP DevelopmentCreate reusable internal assets (reference architectures, accelerators, playbooks) that improve delivery qualityContinuous LearningStay current on Azure AI and data platform changes and apply learning pragmatically to client solutionsPre‑Sales Support (As Needed)Support early discovery, solution envisioning, and contribution to technical proposals, estimates, and SOWsExperienceRequired Qualifications10+ years delivering technology solutions, including 5+ years leading data engineering, analytics, or AI work on AzureClear evidence of personal ownership — you can explain what you built, why you chose it, and what you’d change next timeAzure & Data ExpertiseHands‑on experience with Azure AI services and Azure data platforms and/or Microsoft FabricArchitecture JudgmentAbility to design scalable patterns (lakes, warehouses, modeling) and integrate AI responsibly into workflowsPractical operational mindset (CI/CD and MLOps experience is a plus)Problem‑Solving & AdaptabilityComfortable working in ambiguity, making tradeoffs explicit, and keeping delivery moving without hand‑holdingCommunication & LeadershipStrong client‑facing communicator who can explain complex decisions clearly and lead technical direction confidentlyEducationBachelor’s degree in Computer Science, Engineering, or equivalent professional experiencePreferred QualificationsConsulting or professional services backgroundPower Platform and Power BI experienceMicrosoft Fabric and data governance familiarityAzure DevOps, CI/CD, and infrastructure‑as‑code experienceRelevant Microsoft certificationsPython used in real production systemsExperience writing and maintaining code for data processing, automation, or model deploymentIf you want to do real client delivery at the intersection of data, AI, and Microsoft, and you enjoy owning outcomes from early discovery through go‑live, we’d love to meet you.