AI Technical Architect — Microsoft & Enterprise Platforms

Arxada is a global leader in innovative solutions that protect our world. Our groundbreaking technologies, in-depth regulatory know-how, manufacturing and process development help our customers to safeguard nutrition, health and infrastructure efficiently through chemistry and biotechnology that enhance sustainability. We offer a broad portfolio of ingredients and services for multiple end-markets that include Human Health & Nutrition, Home & Personal Care, Professional Hygiene, Paints & Coatings and Wood Protection.

With customers in more than 100 countries, the company achieved sales of CHF 2 billion in 2024. Headquartered in Basel (Switzerland), Arxada employs 3,200 associates across 24 production sites and 14 R&D centers, all committed to our customers’ success.

As an AI Technical Architect — Microsoft & Enterprise Platforms, you will lead the design, build, and deployment of AI solutions across Arxada’s Microsoft ecosystem. Acting as a hands-on technical leader, you will bring AI into core enterprise and operational processes—combining data, cloud platforms, and advanced analytics to deliver real business impact.

You will own the architecture of the Microsoft AI estate, spanning Azure AI, Microsoft Fabric, Microsoft 365 Copilot, and Power Platform. Working closely with business and technology teams, you will build scalable, secure, and production-ready AI solutions, while mentoring a team as a player‑coach. This role offers the opportunity to shape a modern AI-driven enterprise, balancing innovation with governance, security, and operational excellence.

Essential Job Functions:

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

Qualifications & Experience:

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

Arxada has world class offering in two distinct areas:

Microbial Control Solutions (MCS) focuses on threats posed by microorganisms to people and planet through five distinct business lines including Professional Hygiene, Home & Personal Care, Wood Protection, Paints & Coatings and Material Protection.

Nutrition, Care & Environmental (NCE), meanwhile, provides materials used to manufacture composites for electronics, aerospace and other markets, as well as vitamins and nutritional ingredients, chemicals and performance intermediates, and raw materials for a wide range of high-performance applications.

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