Operations Quality Principal Architect

At Roche you can show up as yourself, embraced for the unique qualities you bring.

Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally.

This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come.

Join Roche, where every voice matters.

The Position Job Title: Enterprise AI & Quality Insights Architect Location: Warsaw, Poland (Hybrid Model) Hiring Manager: Cynthia Harvell Roche Digital Technology (RDT) is where innovation meets purpose.

As a global 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.

The opportunity: Enterprise AI Architecture, Scaling & Strategy Enterprise AI Platform Management: Design, scale, and deploy robust machine learning and NLP pipelines utilizing approved enterprise data platforms, primarily focusing on Dataiku and Azure ML Studio layers.

Agentic Framework Implementation: Evaluate and deploy advanced AI solutions.

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. AI Use?Case Backlog Governance: 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.

Strategic Product Ownership & Automated Governance Agile Product Architecture: Assume formal Product Owner and architectural design oversight for core Quality Insight platforms, dashboards, and automation frameworks.

Dev Ops & 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.

Gx P Compliance, CSV Integration & Matrix Leadership Computerized System Validation (CSV) Alignment: Ensure all deployed AI models, automated scripts, and data pipelines adhere to computerized system validation protocols under Gx P, US FDA (21 CFR Part 820), and ISO * standards.

Guide the team in authoring, reviewing, and executing technical validation documentation for data integrity.

Cross?Functional Strategy: Partner directly with Quality Site Heads, Business Leaders, and general cross?functional squads to break down organizational data silos and resolve systemic reporting barriers across site networks.

Community of Practice: 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.

Who you are: Required Skill Set & Competencies: AI & Machine Learning Architecture:

Strong hands?on engineering proficiency with enterprise data science environments (such as Dataiku or ML Studio).

Advanced understanding of NLP