Principal Software Engineer, AI Engineering

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

At Okta, we’re building the future of secure, enterprise-grade AI Agents. We’re looking for a Principal Engineer to join our global AI Engineering team. In this role, you will be instrumental in designing and building the intelligent, user-facing experiences and the end-to-end AI solutions that power them.

This is a senior individual contributor role for a hands-on engineer who can set technical direction, mentor others, and partner closely with our cross-geo counterparts as part of one global team.

What you'll do :

Drive the architecture and design of AI solutions, leading cross-functional initiatives across Product, Design, and Data Science.

Design, build, and refine the core backend services that power our AI solutions, including LLM orchestration, RAG pipelines, and generative AI features.

Build high-performance Agentic Experiences (AX) for web and mobile, engineered for streaming responses and low latency.

Champion observability and operational excellence to ensure our AI services meet enterprise-grade standards for reliability and performance.

Develop robust backend services to power our AI solutions, including LLM orchestration, RAG pipelines, and generative AI features

Enable the successful delivery of key AI projects through technical leadership and hands-on execution.

Mentor engineers, raising the bar on technical craftsmanship and solution quality across the full stack.

Collaborate with cross-geo peers to ensure globally aligned designs, shared roadmaps, and scalable architectures.

Partner with Security, Data, and Infrastructure teams to ensure AI adoption is secure, reliable, and enterprise-ready