About the job
At Confluent, we are not just enhancing technology; we are revolutionizing the way data flows and how the world interacts with it. Our platform ensures that data is always in motion, enabling businesses to respond swiftly, innovate intelligently, and deliver experiences as vibrant as the world around us.
We seek individuals who are inquisitive and collaborative, valuing teamwork and open feedback. Our culture thrives on collective intelligence, where every voice matters and no one works in isolation. Together, we strive for greatness.
Join us as we embody the spirit of collaboration, working as One Confluent, One Team, on One Data Streaming Platform.
About Our Team:
The Business Systems team is the backbone of Confluent's operational success. We manage and optimize essential platforms like Salesforce, NetSuite, and Zendesk, with a vision to modernize our technology stack through practical AI integrations that automate workflows and enhance data accessibility for our internal stakeholders.
Your Role:
We are in search of a proactive AI Architect who will spearhead the technical design and implementation of our internal AI solutions. This pivotal role combines software architecture, engineering leadership, and business collaboration. You will transform ambiguous business challenges into robust, secure AI software solutions, playing a key role in defining architecture and coding production systems.
Key Responsibilities:
System Architecture & Integration
- Design for Action: Develop AI integrations that go beyond mere text summarization. Create systems that can securely read from and write back to our core platforms, such as updating records in Salesforce or formulating responses in Zendesk.
- Secure Data Flow: Architect the integration layer between external LLM providers (e.g., Google, Anthropic, OpenAI) and our internal data. Ensure that all data access is regulated under strict permission guidelines.
- Scalability: Design a model-agnostic inference system that allows flexibility in switching between models based on performance and cost considerations.
Hands-On Development
- Backend Engineering: Produce production-ready code using cutting-edge agent frameworks (e.g., ADK, LangChain). This role is highly technical and requires proficiency in coding.

