# AI Integration Architect - RDT Data Platforms at Roche

AI Level 3, AI centrality 65 out of 100. Remote (Warsaw).

## Details

- Company: [Roche](https://jobsbylevel.com/companies/roche)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Remote (Warsaw)
- Salary: PLN 229k-PLN 425k
- Posted: October 6, 2026
- Apply: https://jobsbylevel.com/go/87c7e516-9a7c-443e-b0f3-a048d89aa387

## 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 AI Integration Architect - RDT Data Platforms As an AI Integration Architect - RDT Data Platforms within the Data Integration, Model Context Protocol (MCP) & Streaming Platforms team, you will serve as a strategic technical leader and hands-on integration expert with core strength in Enterprise Integration Patterns, bridging the gap between enterprise integration infrastructure and modern AI ecosystem advancements (Agentic Workflows, Skills). In this role, you will establish, refine, and govern robust Integration standards and reference architectures. Your primary focus centres on API-driven paradigms , resilient real-time data streaming , and next-generation frameworks like MCP and A2A . Driven by a high-performing mindset, you will construct end-to-end solutions that safely surface organizational datasets and event pipelines to intelligent systems, fostering scalable, context-aware AI capabilities. At Roche, we offer a hybrid work model that combines flexibility with in-person collaboration. For now, we require our employees to be in our offices on average two days per week . The specific office days may vary depending on business needs, such as workshops, conferences, town halls, team meetings, and other collaborative events. The opportunity: Enterprise Integration & AI Strategy Integration & Enterprise Action Layer: Formulate and execute the enterprise architecture strategy for enterprise action layer, enabling governed access to key business capabilities through APIs, events and agent protocols such as MCP, A2A. Patterns & Architectures: Redefine integration patterns supporting new protocols, establishing reference architectures and design standards for Skills, Agentic AI, and event-driven AI workflows. Governance & Controls: Define, publish, and execute governance standards and controls for AI integrations, establishing Architecture Decision Records (ADRs), API/MCP/Event design reviews, and security frameworks tailored for AI interactions. Architectural Governance & Platform Engineering MCP & API Integration Architecture: Design, standardise, and govern enterprise MCP servers and client architectures, ensuring secure, scalable, and standardized access for AI agents to context, tools, and enterprise data across domains. Real-Time Data Streaming & AI Integration Platforms: Architect and deliver low-latency, resilient streaming pipelines leveraging platforms like MuleSoft, Solace, and Apache Kafka on AWS and Kubernetes to power real-time AI capabilities, streaming inference, and contextual memory Next-Gen AI Protocols & Innovation Drive AI & Integration Innovations: Combine deep integration domain skills with emerging AI capabilities to evaluate, pilot, and drive adoption of novel protocols (MCP, A2A), agentic workflows, and AI ecosystem standards. Hands-On Prototyping & PoCs: Build high-impact Proofs of Concept (PoCs) validating agentic integration patterns, RAG, and AI skills, directly accelerating implementation and removing technical debt. Cross-Functional Collaboration & Mentorship: Partner closely with internal Data & AI streams, product engineering teams, and key stakeholders, serving as an authoritative mentor and advocate for modern integration patterns. Strategic Collaboration & Technical Leadership Internal Collaboration & Stakeholder Management: Collaborate internally across Data & AI streams, partnering with product owners, data engineers, enterprise architects, and business domain leads to align technical capabilities with business strategy.

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/ai-integration-architect-rdt-data-platforms-at-roche-ce92fa

Source: https://jobsbylevel.com/jobs/ai-integration-architect-rdt-data-platforms-at-roche-ce92fa

## Cite this page

Level. https://jobsbylevel.com/jobs/ai-integration-architect-rdt-data-platforms-at-roche-ce92fa.

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