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Roche

Global pharmaceuticals and diagnostics company

AI Integration Architect - RDT Data Platforms

DevOps & InfrastructureConfirmed live in the last 24 hours
Full-timeHybrid

About the Job

Requirements

  • At least 8 years of experience as an Integration Architect or subject-matter expert, including practical experience integrating enterprise platforms such as ServiceNow, SAP S/4HANA, Workday, Snowflake, and Veeva.
  • Extensive hands-on knowledge of Enterprise Integration Patterns and experience designing scalable integration solutions combining API management and event-driven architectures.
  • Hands-on expertise with AI protocols such as MCP and A2A, agentic workflows, and Skills; knowledge of large language models, retrieval-augmented generation architectures, and vector search is an added advantage.
  • Technical proficiency with enterprise integration platforms and low-latency streaming infrastructure, including MuleSoft, Solace, Apache Kafka or Confluent, AWS Kinesis, and REST or gRPC microservices.
  • Experience with OAuth2, OIDC, On-Behalf-Of token exchange, and identity propagation for secure, context-aware execution across AI agents and enterprise backends.
  • Hands-on experience with AWS, containerization, orchestration using Kubernetes and Docker, and hybrid enterprise deployment patterns.
  • A track record of managing key stakeholders and communicating complex AI and integration concepts to business leaders and engineering teams.
  • Experience in highly regulated industries such as pharmaceuticals or healthcare is a strong plus.
  • A proactive approach to mentoring and guiding engineering teams and promoting collaborative, reusable solutions.

Responsibilities

  • Formulate and execute the enterprise architecture strategy for the enterprise action layer, enabling governed access to business capabilities through APIs, events, and agent protocols such as MCP and A2A.
  • Redefine integration patterns for new protocols and establish reference architectures and design standards for Skills, agentic AI, and event-driven AI workflows.
  • Define, publish, and execute governance standards and controls for AI integrations, including Architecture Decision Records, API/MCP/event design reviews, and security frameworks tailored to AI interactions.
  • Design, standardize, and govern enterprise MCP servers and client architectures to provide secure, scalable access for AI agents to context, tools, and enterprise data across domains.
  • Architect and deliver low-latency, resilient streaming pipelines using platforms such as MuleSoft, Solace, and Apache Kafka on AWS and Kubernetes to support real-time AI capabilities, streaming inference, and contextual memory.
  • Evaluate, pilot, and drive adoption of emerging AI protocols, agentic workflows, and AI ecosystem standards.
  • Build proof-of-concept solutions validating agentic integration patterns, retrieval-augmented generation, and AI Skills to accelerate implementation and reduce technical debt.
  • Partner with internal Data and AI streams, product engineering teams, product owners, data engineers, enterprise architects, and business domain leads to align technical capabilities with business strategy.
  • Promote design-first and protocol-driven thinking and advocate standardized integration and AI tools and contextual integration across product lines.

Desired Qualifications

  • Knowledge of large language models, retrieval-augmented generation architectures, and vector search.
  • Experience in highly regulated industries such as pharmaceuticals or healthcare.

About the Company

Roche

Global pharmaceuticals and diagnostics company

Roche is a global leader in pharmaceuticals and diagnostics. It develops medicines and diagnostic tools that help detect, monitor, and treat diseases, using research and biotechnology to drive new therapies and tests. Roche combines drug development with in-house diagnostic products to support personalized medicine, where treatments are tailored to individual patients based on test results. Its approach differs from many peers by integrating drug discovery with diagnostic capabilities and by expanding its research through strategic acquisitions (like Genentech) to strengthen its biotechnology and R&D capabilities. The company’s goal is to improve patient outcomes and healthcare worldwide by delivering reliable medicines, accurate diagnostic tests, and data-driven care.

Company size
1-10
Company stage
IPO
Headquarters
Basel, Switzerland
Founded
1896

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