AI Technical Architect – Microsoft, Enterprise Platforms

CDM Smith

AI Technical Architect leading design and deployment of AI solutions for Arxada, a sustainability-focused leader. Focusing on Microsoft's AI ecosystem and data architectures in global operations.

Posted 6/23/2026full-timeRemote • 🇪🇸 SpainSeniorLeadWebsite

Tech Stack

Tools & technologies

AzureCloudIoT

About the role

Key responsibilities & impact

Design, build, and deploy AI solutions hands-on using Azure AI, Azure OpenAI, and Microsoft Fabric, taking use cases from prototype to production
Own the end-to-end architecture of the Microsoft AI ecosystem, including M365 Copilot, Agent 365, and Power Platform
Develop and manage the enterprise data and analytics platform (Microsoft Fabric) to support AI, RAG, and BI use cases
Build and integrate edge-to-cloud data pipelines for OT and MES signals (e.g. Ignition, AVEVA PI) using Azure IoT and Fabric
Drive AI innovation across customer and commercial processes via Microsoft Dynamics, aligned with broader enterprise architecture
Embed security, identity (Entra ID), privacy, and responsible AI controls into all solutions
Lead and mentor a team of engineers and data scientists, reviewing designs and ensuring delivery excellence
Manage MLOps, technical debt, and lifecycle to ensure scalable, maintainable, and cost-efficient AI solutions

Requirements

What you’ll need

8+ years of experience in architecture/engineering with hands-on delivery of AI, ML, or data solutions
Deep expertise in Microsoft cloud and AI stack including Azure AI, Azure OpenAI, Microsoft Fabric, Power Platform, and M365/Copilot
Strong coding and MLOps capabilities, including experience with RAG, vector databases, pipelines, and inference services
Solid understanding of modern data architecture including lakehouse, real-time and batch processing, and data governance
Proven experience designing end-to-end AI solutions in complex enterprise environments
Experience leading engineers and data scientists as a hands-on player‑coach
Strong ownership mindset with the ability to take initiatives end-to-end and deliver outcomes
Experience working with OT/industrial data and edge-to-cloud analytics architectures
Exposure to GxP or regulated environments (GAMP 5, 21 CFR Part 11, EU Annex 11)
Experience with Microsoft Dynamics and AI-driven customer data platforms
Knowledge of Copilot Studio / Agent 365 governance and scaling enterprise AI agents
Fluency in English; Spanish is an advantage.

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI solutionsML solutionsdata solutionsMLOpsdata architecturereal-time processingbatch processingdata governancecodingpipelines

Soft Skills

leadershipmentoringownership mindsetinitiativedelivery excellence