Requirements: English
Company: Roche
Region: Poznan , Greater Poland Voivodeship
The Galileo Use Case Delivery Team is looking for an Artificial Intelligence Solutions Architect.
Galileo is a strategic Roche Informatics program aiming to enable high-value AI (initial focus: Generative AI - GenAI) use cases at Roche through fit-for-purpose platforms and services, establishing a foundation for a Center of Excellence in AI. The recently formed Use Case Delivery (UCD) Team, consisting of a number of delivery squads, is tasked with building innovative GenAI applications.
We are looking for a highly skilled AI Software Architect to design and help implement end-to-end GenAI and non-GenAI applications. This role will involve working with Large Language Models (LLMs), multimodal models, Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, vector and traditional databases, APIs, and other solution components also including those not related to AI, utilizing cloud services (AWS, Azure) to develop scalable and robust AI solutions.
- Expertise in AWS and Azure cloud services, including compute, storage, networking, security, and AI/ML services.
- Proven ability to design and implement cloud-native architectures using containerization (Docker, Kubernetes), orchestration, and IaC tools (Terraform, CloudFormation).
- Demonstrated track record of designing and deploying large-scale, cloud-based AI and non-AI applications in enterprise environments.
- Deep understanding of AI/ML concepts, including LLMs, multimodal models, RAG, agentic systems, model training, and evaluation metrics.
- Experience in designing and implementing AI model integration, optimization strategies, and model-serving pipelines.
- Strong software engineering background with proficiency in Python, backend development, APIs, data pipelines, and integration patterns.
- Hands-on attitude, able to try out new technologies, still an active developer
- Knowledge of databases, including vector databases, SQL, NoSQL, and data storage solutions, along with experience in data governance and security.
- Experience with MLOps principles, CI/CD pipelines, DevOps, Infrastructure as Code, microservices, and software engineering best practices.
- Ability to define end-to-end system architectures, integrating AI and non-AI components, and designing monitoring, logging, and observability strategies.
The Galileo Use Case Delivery Team is looking for an Artificial Intelligence Solutions Architect.
Galileo is a strategic Roche Informatics program aiming to enable high-value AI (initial focus: Generative AI - GenAI) use cases at Roche through fit-for-purpose platforms and services, establishing a foundation for a Center of Excellence in AI. The recently formed Use Case Delivery (UCD) Team, consisting of a number of delivery squads, is tasked with building innovative GenAI applications.
We are looking for a highly skilled AI Software Architect to design and help implement end-to-end GenAI and non-GenAI applications. This role will involve working with Large Language Models (LLMs), multimodal models, Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, vector and traditional databases, APIs, and other solution components also including those not related to AI, utilizing cloud services (AWS, Azure) to develop scalable and robust AI solutions.
,[Define and design AI and non-AI components of software applications, ensuring modularity, scalability, and security, Architect solutions that integrate GenAI capabilities into enterprise systems while ensuring seamless interoperability with backend services, APIs, databases, and user interfaces, Ensure adherence to cloud-native best practices across AWS and Azure deployments, including containerization, orchestration, and infrastructure as code, Define robust patterns for utilizing LLMs, multimodal models, and RAG and agentic systems, Design efficient model-serving pipelines, integrating AI capabilities into existing business workflows, Ensure that AI applications follow software engineering best practices, including version control, CI/CD, automated testing, and code quality assurance, Architect secure and scalable APIs to facilitate seamless communication between AI models, databases, and user interfaces, Design data pipelines that efficiently handle structured and unstructured data, ensuring AI models receive high-quality input data, Integrate identity management and authentication mechanisms to ensure secure access to AI applications, Provide technical leadership in AI architecture reviews, design discussions, and solution validation, Collaborate with Agile teams and key stakeholders across the organization to design and implement AI systems that not only meet Roche Informatics'' architectural standards and adhere to AI governance guidelines] Requirements: Azure, AWS, Kubernetes, Docker, AI, ML, Python Tools: . Additionally: Sport subscr