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The Galileo Use Case Delivery Team is looking for an Artificial Intelligence Solutions Architect.
Galileo is a strategic Roche Informatics program aiming to enable highvalue AI (initial focus: Generative AI GenAI) use cases at Roche through fitforpurpose 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 endtoend GenAI and nonGenAI applications. This role will involve working with Large Language Models (LLMs) multimodal models RetrievalAugmented 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.
The Opportunity:
EndtoEnd System Architecture:
Define and design AI and nonAI 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 cloudnative best practices across AWS and Azure deployments including containerization orchestration and infrastructure as code
Evaluate the best fit for purpose technologies
AI Model Integration & Optimization:
Define robust patterns for utilizing LLMs multimodal models and RAG and agentic systems
Design efficient modelserving pipelines integrating AI capabilities into existing business workflows
EnterpriseGrade Software Engineering:
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 highquality input data
Integrate identity management and authentication mechanisms to ensure secure access to AI applications
Observability Performance & Security:
Define monitoring and logging strategies for AIdriven applications to ensure model performance API health and data integrity
Implement AI observability practices ensuring visibility into model behavior drift detection and anomaly identification
Design architectures that adhere to data governance security compliance and ethical AI guidelines
Collaboration & Governance:
Work closely with ML Engineers Data Scientists Software Engineers Business Analysts Product Owners and other members of Agile development teams to translate business requirements into AIdriven architectures
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
Who you are:
Expertise in AWS and Azure cloud services including compute storage networking security and AI/ML services.
Proven ability to design and implement cloudnative architectures using containerization (Docker Kubernetes) orchestration and IaC tools (Terraform CloudFormation).
Demonstrated track record of designing and deploying largescale cloudbased AI and nonAI 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 modelserving pipelines.
Strong software engineering background with proficiency in Python backend development APIs data pipelines and integration patterns.
Handson 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 endtoend system architectures integrating AI and nonAI components and designing monitoring logging and observability strategies.
Strong analytical problemsolving and communication skills with a handson attitude and a passion for exploring new technologies.
What you get:
Salary rangePLN gross based on the employment contract (Umowa o prac)
Annual bonus payment based on your performance;
Dedicated training budget (training certifications conferences diversified career paths etc.;
Recharge Fridays 2 Fridays off per quarter available)
Take time Program (up to 3 months of leave to use for any purpose)
Flex Location (possibility to perform our work from different places in the world for a certain period of time)
Take Time for Charity (additional paid leave of maximum 2 weeks to engage in the charity action of your choice)
Private healthcare LuxMed packages) and group life insurance (UNUM);
Stock share purchase additions;
Yearly sales of company laptops and cars and many more
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Full-Time