At Roche you can show up as yourself, embraced for the unique qualities you bring. Enterprise AI & Quality Insights Architect Warsaw, Poland (Hybrid Model) Roche Digital Technology (RDT) As a integral team at the heart of Roche, we are a community of business-minded technologists committed to help shape tomorrow's digital future of healthcare. Our mission is to power Roche through cutting-edge digital technologies, harnessing the potential of artificial intelligence, data, and scalable tech innovations. Driven by purpose and passion, we're building a future where digital is a core strength across all of Roche, enabling smarter ways of working, unlocking human potential, and driving breakthroughs that truly matter for millions of patients around the world. At Roche,

we offer
a hybrid work model that combines flexibility with in-person collaboration. For now, we require our employees to be in our offices on average two days per week. The specific office days may vary depending on business needs, such as workshops, conferences, town halls, team meetings, and other collaborative events. Join our dynamic team as an Enterprise AI & Quality Insights Architect, where you will directly shape how artificial intelligence and advanced data platforms transform quality operations across our global network. In this role, you will lead the architectural design and deployment of cutting-edge NLP, LLM, and agentic workflows within a highly regulated healthcare environment. This is a unique opportunity to combine strategic product ownership, robust AI scaling, and matrix leadership to drive meaningful digital transformation in quality management. Enterprise AI Architecture, Scaling & Strategy Design, scale, and deploy robust machine learning and NLP pipelines utilizing approved enterprise data platforms,



primarily focusing on Dataiku and Azure ML Studio layers. Utilize the Claude Agent SDK or comparable approved SDKs as targeted implementation options for complex use cases that genuinely require custom, automated agents to navigate cross-system data silos. Architect and mature our global AI Use-Case Backlog. Guide the deployment of Natural Language Processing (NLP) and Large Language Models (LLMs) to automate initial sorting, risk-grading, and real-time categorization of complex quality data. Sustainable Data Infrastructure: Oversee the conceptual data modeling and integration pipelines feeding into core analytics repositories (such as Snowflake and AWS). Partner with builders to translate complex datasets into high-performing enterprise business intelligence views. Agile Product Architecture: Assume formal Product Owner and architectural design oversight for core Quality Insight platforms, dashboards, and automation frameworks. DevOps & Workflow Optimization: Establish and Champion clean repository management, version control, and collaborative code review practices via Git. Drive standardized automation workflows utilizing Jira and Confluence to optimize the subchapter's intake pipeline and eliminate communication latency. Ensure all deployed AI models, automated scripts, and data pipelines adhere to computerized system validation protocols under GxP, US FDA (21 CFR Part 820),



and ISO * standards. Guide the team in authoring, reviewing, and executing technical validation documentation for data integrity. Partner directly with Quality Site Heads, Business Leaders, and global cross-functional squads to break down organizational data silos and resolve systemic reporting barriers across site networks. Establish, champion, and mentor an Operations Quality Community of Practice for Quality AI & Data Insights. Elevate organizational digital fluency by coaching other team members on best practices. AI & Machine Learning Architecture: Strong hands-on engineering proficiency with enterprise data science environments (such as Dataiku or ML Studio). Advanced understanding of NLP, LLMs, and prompt engineering architectures. Strong proficiency in core programming for data data modeling (Python, SQL) and developer workflows (Git, Jira, Confluence, and script automation environments). Hands-on experience or deep conceptual understanding of custom agent architectures utilizing tools like the Claude Agent SDK or comparable enterprise-approved development kits. Data Systems Awareness: Solid structural knowledge of cloud data warehousing (Snowflake), pipeline concepts (AWS), and business intelligence delivery tools (ThoughtSpot, Tableau). Bachelor's, Master's, or Ph.
D. degree in Data Science, Informatics, Data Analytics, Computer Science, or a related technical field. 5-7+ years of experience building and deploying machine learning algorithms, complex data models, or automated software tools to support enterprise-level decision-making. Experience working within a highly regulated manufacturing environment (such as Pharma, Diagnostics, or Medical Devices). Sound un

📌 Quality Tech Architect (España)
🏢 Roche
📍 España