AI Solution Architect
AI Solution Architect
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Salary Not Disclosed
1 Vacancy
Job 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
Always innovating we bring together dedicated people and diverse perspectives from across our global network empowering each other keep breaking new ground.
The Galileo 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.
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
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
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
Who you are:
7 years of experience in software architecture and engineering including at least 3 years in AI/MLrelated projects.
Minimum Bachelors Degree or related experience.
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.
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.
Relocation benefits are not available for this job posting.
Who we are
A healthier future drives us to innovate. Together more than 100000 employees across the globe are dedicated to advance science ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities foster creativity and keep our ambitions high so we can deliver lifechanging healthcare solutions that make a global impact.
Lets build a healthier future together.
Roche is an Equal Opportunity Employer.
Employment Type
Full-Time
