AI Solution Architect

Roche; Madrid; Presencial; PLN 20.000 - 27.000; Jornada completa

Descripción de la vacante

Roche is seeking an Artificial Intelligence Solutions Architect to drive the development of AI applications through cloud-native architectures and end-to-end system design. This role emphasizes collaboration with data scientists and software engineers, ensuring robust implementation of AI solutions aligned with organizational standards. With a focus on innovative technologies and methodologies, this position offers an exciting opportunity to shape the future of healthcare technology.

Servicios

Annual bonus payment based on performance

Dedicated training budget for certifications

Recharge Fridays (2 Fridays off per quarter)

Flex location for work

Private healthcare

Stock share purchase options

Paid leave for charity work

Formación

• Expert in designing cloud-native architectures.
• Experience in deploying AI applications.
• Strong understanding of database management.

Responsabilidades

• Architect end-to-end AI and non-AI systems.
• Design scalable data pipelines.
• Collaborate with cross-functional teams.

Conocimientos

Cloud services expertise (AWS, Azure)

AI/ML concepts

Software engineering

Python proficiency

Problem-solving skills

Educación

Degree in Computer Science or related field

Herramientas

Docker

Kubernetes

Terraform

CloudFormation

Descripción del empleo

Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

The Position

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.

The Opportunity :

• End-to-End System Architecture :

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.
• Evaluate the best fit for purpose technologies.

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.
• Enterprise-Grade 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 high-quality input data.
• Integrate identity management and authentication mechanisms to ensure secure access to AI applications.
• Observability, Performance & Security :

Define monitoring and logging strategies for AI-driven 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 AI-driven 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 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.
• Strong analytical, problem-solving, and communication skills, with a hands-on attitude and a passion for exploring new technologies.

What you get :

• Salary range 20,000 - 27,000 PLN gross based on the employment contract (Umowa o pracę).
• 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.

APPLY DIRECTLY

If you feel this offer suits a friend of yours, feel free to share it.

Want to know what it’s like to be a part of Roche IT first-hand? Check out our blog!

Who we are

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

At Roche Poland, we are more than 800 professionals working together on one mission. We are proud of who we are, what we do and how we do it. Join us in the area of Clinical Research, Medical, Marketing, IT or business departments.

Roche is an Equal Opportunity Employer.

J-18808-Ljbffr