Data and AI engineer for clinical submissions

Roche; Warszawa; Vor Ort; PLN 229.000 - 425.000; Vollzeit

Benefits dieser Stelle

Бонус до 20%

Медицинское страхование

Профессиональное обучение и развитие

Zusammenfassung

Roche в Варшаве ищет Principal Data and AI Engineer, который возглавит архитектуру, внедрение и оптимизацию инфраструктуры данных и продвинутых AI‑решений. Вы будете modernизировать генерацию клинических данных и поддержку содержания через многоагентные системы и масштабируемую облачную инфраструктуру.

Задача — выстраивать безопасные, устойчивые и соответствующие регуляторным требованиям платформы, управлять сложными данными и направлять команду к техническому совершенствованию и стратегическим

Qualifikationen

• Опыт ведения крупных архитектур данных и внедрений AI/ML в сложных средах.
• Опыт реализации проектов, влияющих на инфраструктуру данных и архитектуру.
• Опыт оптимизации задержек и точности в прод. системах RAG/агентных решениях.
• Опыт управления данными, обеспечение устойчивости и безопасности.
• Опыт внедрения CI/CD, MLOps/LLMOps и тесной интеграции с REST APIs.

Aufgaben

• Лидирование проектирования и построения крупномасштабных архитектур данных.
• Наставничество инженеров и стандарты технического качества.
• Разработка и развёртывание высокоэффективных AI‑систем, RAG‑платформ и многоагентных рабочих процессов.
• Обеспечение высокой устойчивости, безопасности и соответствия регуляторным требованиям.
• Сотрудничество с руководством по стратегическим roadmaps и требованиям бизнеса.

Kenntnisse

Leadership

Strategic thinking

Mentoring

Agile/CI/CD culture

Tools

AWS

GitLab CI/CD

MLOps

LLMOps

REST APIs

Jobbeschreibung

Описание:

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.

Задачи:

• 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
• 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
• Liaises with senior leadership to align on data and AI strategy and functional needs, and occasionally step into product-owner-level alignment when needed
• Guides and directs various technical teams and effectively influences the team's architectural decisions
• Influence key stakeholders on AI strategy, roadmap prioritization, and solution adoption
• Define and execute the technical roadmap for data platforms, Generative AI, and agentic AI capabilities within the function.
• Lead high-impact projects that directly influence organizational objectives, innovation initiatives, and operational efficiency
• Establish strict software engineering standards by integrating automated evaluation, test-driven development (TDD), and robust testing frameworks into CI/CD pipelines
• Manages enterprise-level data systems and infrastructure
• Designs and implements advanced data processing frameworks, scalable data warehouses, and data lakes
• Work with large-scale clinical, regulatory, and enterprise datasets across structured and unstructured formats
• Apply strong software engineering principles to develop secure, scalable, and maintainable AI products
• Acts as an expert in multiple programming languages and Big Data technologies
• Demonstrates a deep understanding of distributed systems, cloud data platforms, advanced ETL/ELT patterns, and data architecture best practices
• Balance system accuracy with inference latency and API costs by establishing LLM evaluation benchmarks, token-optimization strategies, model distillation, and cloud FinOps principles.

Требования:

• Extensive track record leading large-scale data architecture and AI/ML solution deployments in complex environments
• Proven track record of leading high-impact projects that shape enterprise-level data infrastructure and developing long-term data and AI architecture strategies
• Proven experience optimizing end-to-end latency and retrieval accuracy in production RAG systems or agentic AI solutions
• Demonstrated experience contributing significantly to data governance and ensuring the resilience and security of critical data infrastructure
• Demonstrated leadership in embedding agile software engineering standards, CI/CD automation, and MLOps/LLMOps frameworks.
• Graph-based multi-agent systems, RAG optimization (vector & keyword hybrid search), MCP servers, and LLM evaluation frameworks
• AWS, distributed computing, workflow orchestration, microservices, and REST APIs
• Advanced programming proficiency, distributed data systems, ETL/ELT pipelines, and GitLab CI/CD integration
• Familiarity with clinical and regulatory data standards (e.g., CDISC SDTM/ADaM, FHIR, OMOP) and integration patterns with enterprise content/RIM platforms (e.g., Veeva Vault, EDMS).
• Ability to interface directly with senior business leadership to translate business requirements into technical roadmaps and architectural decisions.
• Proven capability to mentor junior and mid-level engineers, promote strong engineering cultures, and drive technical decision-making
• Strong strategic mindset with the ability to influence cross-functional architectural decisions and drive technical excellence

Условия:

The expected salary range for this position, based on the primary location of Warsaw Grafit is 228,900.00 PLN - 425,100.00 PLN. In addition to base pay, this role may be eligible for a discretionary annual bonus with a target of 20% subject to both individual and company performance. This position also offers an attractive benefits package.