About this role
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.
Role Summary
We are seeking a highly skilled Lead AI Engineer to build and deploy Agentic AI solutions that fundamentally accelerate our Product Development Life Cycle (PDLC). Partnering directly with the Engineering Process Improvement Lead, your objective is to translate identified operational bottlenecks into production-ready AI automations. You will be hands-on, writing code and architecting multi-agent systems that autonomously handle everything from Jira story generation to backend code scaffolding, PR reviews, and pre-production deployments. You will ensure these AI-driven workflows scale seamlessly across our distributed engineering teams in the US, India, and other global regions, while strictly adhering to enterprise compliance and capitalization standards. The role spans not only AI-assisted software implementation, but also the use of agentic systems to support production investigation, operational response, engineering analysis, and other high-leverage engineering workflows across the software development and delivery lifecycle. A key part of the role is designing effective human-in-the-loop systems that allows engineers to supervise, guide and approve the work of multiple AI agents operating together to execute an orchestrated business workflow.
Key Responsibilities
Agentic AI Architecture & Development
• Design, build, and deploy multi-agent systems using frameworks like AgentCore, LangGraph, AutoGen, or CrewAI to automate complex software engineering workflows.
• Integrate LLMs (e.g., GPT-4, Claude, Gemini) with internal developer tooling via APIs to execute semi-autonomous and autonomous tasks.
• Develop tools and functions for AI agents to interact safely with our source code repositories, CI/CD pipelines, and project management systems.
• Focus on deploying secure solutions, with a focus on sandboxing and least privilege
Global PDLC Automation & Execution
• Build the pipelines that achieve the target state defined by Process Operations:
• Develop NLP-driven pipelines to parse Product Requirement Documents (PRDs) and automatically generate structured, sprint-ready Jira stories via the Jira API.
• Integrate AI coding assistants and visual AI tools to accelerate UX design and frontend UI code generation.
• Engineer autonomous agents capable of collaborating with human developers on backend code, generating scaffolding, and writing unit tests.
• Build automated, AI-driven Pull Request (PR