Roche

Data and AI Engineer - RDT Pharma R&D

228.9k - 425.1k PLN228 900 - 425 100 PLN/ rok./ rok.UoPUmowa o pracę (brutto)

SeniorHybryda·WarszawaFull-time·Umowa o pracę

#435160·Dodano miesiąc temu·5

Źródło: Roche

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Tech Stack / Keywords

AWSRAGETLELTGitLabCDISCFHIROMOPMLOps

Firma i stanowisko

Roche is a global healthcare company focused on advancing science to ensure access to healthcare and innovative treatments. The Clinical Submission Data and Content Generation & Reuse function works on transforming clinical data and regulatory submission content creation through AI-driven automation and digital platforms. The team leverages Generative AI, Agentic Workflows, Knowledge Graphs, and advanced analytics to improve clinical and regulatory operations.

Wymagania

Extensive experience leading large-scale data architecture and AI/ML deployments.
Proven leadership on high-impact enterprise data infrastructure projects and AI architecture strategy.
Experience optimizing latency and retrieval accuracy in production RAG or agentic AI systems.
Contributed to data governance and ensured resilience and security of data infrastructure.
Leadership in embedding agile software engineering standards, CI/CD, and MLOps/LLMOps frameworks.

Technical Skills:

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, distributed data systems, ETL/ELT pipelines, GitLab CI/CD integration.
Familiarity with clinical and regulatory data standards (CDISC SDTM/ADaM, FHIR, OMOP) and integration with platforms (Veeva Vault, EDMS).

Additional Qualifications:

Ability to interface with senior leadership translating business needs into technical roadmaps.
Proven mentoring skills and promotion of strong engineering culture.
Strong strategic mindset influencing cross-functional architecture and technical excellence.

Obowiązki

Scope / Content Leadership:

Leads design and construction of large-scale data architectures.
Oversees and mentors junior engineers.
Designs and deploys high-performance AI systems, RAG platforms, and multi-agent workflows.
Architects scalable distributed data systems, cloud platforms, and ETL/ELT pipelines.

Accountability/Problem Solving:

Solves complex data engineering problems and performance issues.
Ensures resilience, compliance, and security standards in data and AI deployments.

Stakeholder Management:

Liaises with senior leadership on data and AI strategy.
Guides technical teams and influences architectural decisions.
Influences AI strategy, roadmap prioritization, and solution adoption.

Impact/Strategy:

Defines and executes technical roadmap for data platforms and AI capabilities.
Leads projects impacting organizational innovation and efficiency.
Establishes software engineering standards with automated evaluation, TDD, and testing frameworks in CI/CD.

Complexity / Product Size:

Manages enterprise-level data systems and infrastructure.
Designs data processing frameworks, data warehouses, and data lakes.
Works with large-scale clinical, regulatory, and enterprise datasets.

Business / Technical ability:

Applies software engineering principles for secure, scalable AI products.
Acts as expert in multiple programming languages and Big Data technologies.
Understands distributed systems, cloud data platforms, ETL/ELT patterns, and data architecture.
Balances system accuracy with latency and costs via LLM evaluation, token optimization, model distillation, and cloud FinOps.

Benefity

Competitive salary range from 228,900 PLN to 425,100 PLN.
Eligibility for discretionary annual bonus with 20% target.
Attractive benefits package provided by employer.

Inne informacje

Roche is an Equal Opportunity Employer.

Roche

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