Software Engineer: AI TechStack

About

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

In this role, you will be a key contributor to the Agent Development Portal (ADP), designing and implementing AI workflows, automation pipelines, and agent-based solutions that integrate enterprise data. You will work with modern AI frameworks such as LangChain, and workflow orchestration tools like n8n to enable teams to rapidly build AI-powered applications. A critical component of your work will be creating reusable blueprints, templates, and reference architectures to accelerate development for other developers and data scientists. Additionally, you will build Proof-of-Value (PoV) solutions for high-impact business teams to demonstrate the platform’s potential and drive organizational adoption.

The Opportunity

AI Workflow & Automation Development:

• Design and build AI-powered workflows and automation pipelines using agent frameworks like LangChain and orchestration tools like n8n.
• Develop solutions that enable AI agents to interact with enterprise systems, APIs, and data sources.

AI & Data Integration:

• Integrate AI workflows with enterprise data sources, Model Context Protocol (MCP) data connectors, and knowledge systems.
• Enable Retrieval-Augmented Generation (RAG) workflows and data-driven AI applications.

Reusable Blueprints & Archetypes:

• Create reusable blueprints, templates, and architectural patterns for common AI agent use cases.
• Develop reference implementations and archetypes that simplify the development of AI workflows for platform users.

Proof of Value (PoV) Development:

• Build PoV solutions for high-impact business teams to demonstrate the potential of AI agents and workflow automation.
• Collaborate with stakeholders to translate business use cases into AI-enabled solutions.

Platform Enablement:

• Provide technical guidance to developers and data scientists building on the platform.
• Contribute to documentation, best practices, and developer examples to support platform adoption.

Continuous Improvement:

• Evaluate emerging AI frameworks, workflow automation tools, and agent technologies.
• Identify opportunities to improve the developer experience and automation capabilities of the platform.

Who you are

Education / Experience

• Proven experience successfully driving small to medium (S/M) initiatives (Project/Squad/Product).
• Demonstrated experience acting as a technical mentor and sharing knowledge through speeches and organized events.

Technical Skills

Technical Core

• AI & Automation: Experience building AI-powered applications using LLMs and frameworks like LangChain.
• Workflow Platforms: Familiarity with automation tools such as n8n, Zapier, Make, or Flowise.
• Programming: Strong skills in Python or JavaScript/TypeScript.
• Development: Experience with REST APIs, webhooks, and microservices.

Data & Infrastructure

• Integration: Experience integrating systems with enterprise data sources and knowledge bases.
• AI Architecture: Familiarity with RAG architectures, embeddings, and vector databases.
• Cloud Platforms: Experience developing solutions on AWS, Azure, or GCP.

Nice to Have

• Experience with multi-agent workflows.
• Familiarity with semantic search and AI evaluation methods.
• Experience building developer platforms or internal tools.

Additional Qualifications

• Cross-functional Teams: Ability to work with AI engineers, product managers, and platform developers.
• Problem-Solving: Strong communication and problem-solving skills to translate business needs into technical requirements.