Data and AI Engineer - RDT Pharma R&D
A principal-level engineer at Roche who designs and builds enterprise data infrastructure and AI platforms — especially RAG systems, graph-based multi-agent workflows, and scalable AWS data pipelines — to automate clinical submission data and regulatory content generation. The role sets engineering standards, mentors engineers, and aligns AI strategy with senior business leadership.
- Compensation
- PLN 228.9K–PLN 425.1K / yr
- Location
- Warszawa, Poland
- Work setup
- Not specified
- Seniority
- Middle
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Extensive track record leading large-scale data architecture and AI/ML solution deployments in complex environments
- Proven track record leading high-impact projects shaping enterprise-level data infrastructure and long-term data/AI architecture strategies
- Proven experience optimizing end-to-end latency and retrieval accuracy in production RAG systems or agentic AI solutions
- Experience contributing significantly to data governance and ensuring resilience and security of critical data infrastructure
- Leadership in embedding agile software engineering standards, CI/CD automation, and MLOps/LLMOps frameworks
- AI/LLM stack: graph-based multi-agent systems, RAG optimization (vector & keyword hybrid search), MCP servers, LLM evaluation frameworks
- Data & cloud engineering: AWS, distributed computing, workflow orchestration, microservices, REST APIs
- Core engineering: advanced programming proficiency, distributed data systems, ETL/ELT pipelines, GitLab CI/CD integration
- Ability to interface directly with senior business leadership to translate requirements into technical roadmaps and architectural decisions
- Proven capability to mentor junior and mid-level engineers and drive technical decision-making
- Strong strategic mindset with ability to influence cross-functional architectural decisions
Nice to have
- Familiarity with clinical/regulatory data standards (CDISC SDTM/ADaM, FHIR, OMOP) and enterprise content/RIM platform integration (Veeva Vault, EDMS)
Full description
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
The Principal Data and AI Engineer leads the architectural design, implementation, and optimization of enterprise-grade data infrastructure and advanced AI solutions (including agentic workflows and RAG systems). In this role, you will modernize clinical data generation and submissions content through automated, high-accuracy multi-agent systems and scalable cloud infrastructure. You will establish engineering best practices, guide cross-functional teams, and liaise with senior business leadership to turn complex data and AI strategies into production-ready platforms.
Description of the area
The Clinical Submission Data and Content Generation & Reuse function focuses on transforming the creation, management, and reuse of clinical data and regulatory submission content through advanced digital capabilities and AI-driven automation. The organization develops structured content management platforms, reusable data and content assets, and intelligent agent ecosystems that support clinical submissions, regulatory compliance, and scientific communication.
The team is at the forefront of leveraging Generative AI, Agentic Workflows, Knowledge Graphs, and advanced analytics to improve quality, accelerate submission timelines, and enable data-driven decision-making across the clinical and regulatory landscape.
Job Responsibilities
- Scope / Content Leadership:
- Leads the design and construction of large-scale data architectures. Oversees and mentors junior engineers while driving technical excellence and setting standards across the team.
- Design and deploy high-performance AI systems, RAG platforms, and multi-agent workflows.
- Architect scalable distributed data systems, cloud data platforms, and advanced ETL/ELT processing pipelines to manage enterprise-level clinical data.
- Accountability/Problem Solving:
- Solves highly complex data engineering problems and troubleshoots intricate performance issues.
- Ensures high resilience, compliance, and strict security standards across all data infrastructure and AI product deployments.
- Stakeholder Management:
- Liaises with senior leadership to align on data and AI strategy and functional needs, and occasionally step into product-owner-level alignment when needed.