01Overview
About the Team
At Okta, we're building the future of secure, enterprise-grade AI. We're looking for a Staff AI Engineer to help design and scale our Agentic AI Platform - the foundation that enables enterprise teams to build, deploy, and manage intelligent AI agents securely and at scale.
As part of a global AI engineering team spanning the US and India, you ll provide technical leadership, write hands-on code, and mentor peers while shaping platform capabilities that empower applied AI use cases across Okta.
What you''ll do :
Design and develop platform services for AI agents, including orchestration, lifecycle management, observability, and guardrails.
Collaborate daily with US counterparts to align on architecture, share roadmaps, and ensure global consistency.
Build scalable APIs, frameworks, and reusable components that enable teams to rapidly create and deploy secure AI agents.
Contribute to monitoring, evaluation, and governance features that make AI adoption safe, reliable, and enterprise-ready.
Partner with Applied AI engineers, product managers, and designers to ensure the platform supports real-world use cases.
Mentor engineers within the India team, raising the bar on technical craftsmanship and platform design.
Stay current with advances in agentic AI, orchestration frameworks, and enterprise AI infrastructure.
What we are looking for:
8+ years of software engineering experience, with at least 3+ years in AI/ML platforms or intelligent automation.
5+ years in Python preferred, Java, Node.js, or Go.
3+ years with modern front-end frameworks (e.g., React, Vue, Angular), principles of accessibility (a11y), and an ability to collaborate effectively with Product & Design.
Expertise in AI agent frameworks (LangGraph preferred), orchestration systems, vector databases, RAG pipelines, and monitoring/observability.
Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure).
Experience building secure, enterprise-grade infrastructure for AI or ML workloads.
Ability to influence architecture decisions, align with a global team, and set technical direction locally.
Strong communication and collaboration skills to work effectively across time zones and global teams. .
