Principal Engineer, Engineering Ai Productivity

Confluent

Remote, United States
**
8+ years strategic productivity initiatives
Ai/ml platform experience with llm integration
Distributed systems and infrastructure expertise
** Confluent is seeking a Principal Engineer for Engineering AI Productivity to enhance their internal AI capabilities and streamline R&D productivity. The ideal candidate will possess extensive experience in SaaS/cloud platforms, AI initiatives, and strong leadership skills, focusing on building and operationalizing AI-driven workflows. **

Job Summary

  • The role involves defining and driving Confluent's internal agentic AI capabilities to accelerate R&D productivity through smart, automated decisioning systems.
  • You will partner across Engineering, Security, and IT to operationalize a vision where AI augments developers and orchestrates intelligent workflows.
  • The position requires a balance of hands-on execution (60%) and strategic setting (40%) to deliver measurable business value and adoption of AI tooling.

Matching Summary

Match Score: 75

** Confluent is seeking a Principal Engineer for Engineering AI Productivity to enhance their internal AI capabilities and streamline R&D productivity. The ideal candidate will possess extensive experience in SaaS/cloud platforms, AI initiatives, and strong leadership skills, focusing on building and operationalizing AI-driven workflows. **

Skills & Requirements

Must-have

  • 8+ years strategic productivity initiatives
  • AI/ML platform experience with LLM integration
  • Distributed systems and infrastructure expertise
  • Cross-functional leadership without direct authority
  • Responsible AI practices and governance

Nice-to-have

  • Cloud-native platform or developer ecosystem background
  • Real-time data and event-driven architecture
  • Experience scaling internal AI platforms
  • Thought leadership in external forums
  • Passion for solving customer problems

Key Requirements

  • 8+ years driving strategic productivity initiatives
  • Expertise in building distributed systems
  • Hands-on experience with LLM integration
  • Proven track record delivering measurable business value

Work Rights

Not specified

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