Principal Engineer, Engineering AI Productivity
Core
Define and drive Confluent's internal agentic AI capabilities and smart, automated decisioning systems to accelerate R&D productivity.
Role type
Principal Engineer, Engineering AI Productivity (Strategic & Hands-on IC)
Builds
Internal agentic workflows, smart assistants, and AI-driven automation features for engineering teams
Domain
SaaS/Cloud platforms, Developer tools, AI/ML, Event-driven architecture
Deliverable
production ML models | product features
Required skills
Strategic productivity initiatives, Distributed systems, Cross-functional leadership, AI/ML platform experience, LLM integration, Workflow automation, Responsible AI practices, Business KPI alignment
Preferred skills
Cloud-native platforms, Scaling internal AI platforms, Real-time data, Platform engineering
Technologies
LLMs, Agentic patterns, AI tooling
Responsibilities
Define and evangelize AI/agentic flows strategy, Build roadmap for agentic automation features, Partner with Engineering/Security to integrate AI capabilities, Lead delivery of core agentic workflows, Define success metrics and KPIs for AI adoption, Write internal playbooks for scaling agentic outcomes
Seniority
Principal, strategy & mentorship with significant hands-on execution (60% execution / 40% strategy)