Senior AI & Data Platform Architect

SICPA SA

Prilly

On-site

CHF 120,000 - 180,000

Full time

37 hours ago

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Job summary

SICPA SA in Switzerland seeks a Data & AI Solution Expert to shape the technical direction of its enterprise Data & AI ecosystem, turning advanced data capabilities into secure, scalable, production-ready solutions.

The role combines architecture with hands-on delivery across Microsoft Fabric, SQL Server, Power BI and enterprise AI, collaborating with engineering, security and business teams to move critical data and AI solutions from concept to operation in a regulated environment.

Qualifications

Design and deliver enterprise data, analytics or AI solutions.
Advanced SQL and SQL Server data modeling and DW/Lakehouse design.
Hands-on Power BI with enterprise deployment and security.
Experience with modern cloud Data & AI platforms (Microsoft Fabric preferred).
Experience with Generative AI solutions, RAG and agents.
Knowledge of MLOps, CI/CD, and automation.
Knowledge of security and governance within data solutions.

Responsibilities

Define Data & AI solution architecture and technical standards aligned with business priorities, enterprise architecture, security and governance requirements.
Design and evolve the enterprise data platform on Microsoft Fabric and SQL Server, covering ingestion, Lakehouse and Warehouse layers, data modeling, performance, resilience and lifecycle management.
Scale trusted analytics through reusable Power BI semantic models, shared KPIs, certified datasets and governed self-service reporting.
Design and deliver Generative AI applications, RAG solutions and governed data agents using Azure OpenAI and the Microsoft AI ecosystem, from prototype through secure production deployment.
Contribute to defining and implementing engineering, DevOps, MLOps and LLMOps practices, including Git, CI/CD, automated testing, deployment, monitoring, observability and rollback.
Embed data governance, security and Responsible AI into solutions through metadata, lineage, data quality, access controls, traceability, evaluation and human oversight.
Contribute senior technical expertise, mentor engineers, review strategic designs and explain technical options and trade-offs clearly to business and technology stakeholders.