Software Architect, AI Systems and Platform

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. The Software Architect Opportunity The team that built Jeeva AI is building Digital Workers, a new suite of autonomous agents for identity operations and security inside Okta. The team works directly with Todd McKinnon, Okta's co-founder and CEO, with the opportunity to bring this product to Okta's 20,000+ customers. You will help shape the product with the ownership and pace of a startup and the resources of a public company. We are hiring two hands-on architects. One will lead agent execution, harnesses and evaluations. The other will lead backend services, integrations, data and platform reliability. You will write critical code, resolve cross-team decisions and work with engineers through production rollout. About You Hands-on builder: You still write production code and test important decisions through implementation. Practical architect: You choose a small, clear design and make it easy to extend when the product grows. Trusted partner: You earn confidence through useful code, clear feedback and customer understanding. What you will be doing • Define and implement shared contracts for tasks, events, permissions, approvals, evidence and usage. • Set clear boundaries between model reasoning, agent harnesses, durable workflows and services that enforce authorization. • Select a harness through representative identity tasks, failure tests and operational evidence. Keep model providers and harness components replaceable. • Design integrations with OpenAI and Anthropic APIs, including data boundaries, latency, cost, version changes and measured release quality. • Build reference services for tenant isolation, scoped tool execution, idempotency, long approval waits and verified results. • Define the transactional and analytics data architecture. Keep PostgreSQL application state separate from the planned ClickHouse or BigQuery analytics layer. • Connect Product, Applied AI and Platform engineers through clear ownership and practical APIs. Resolve dependencies that slow delivery. • Write critical implementations, review recovery and security, and guide technical leads through production rollout and customer expansion. What you will bring to the role • A record of leading architecture and delivery across multiple engineering teams, with recent production code you personally implemented. • Deep knowledge of distributed services, API design, data consistency, cloud security and production operations. • Experience making systems simpler while improving reliability, security or delivery speed. • The ability to explain design tradeoffs, guide senior engineers and remain accountable through implementation. • Depth in at least one of the two role areas below, plus the ability to work across the full product. Role focus AI systems architect: Build and evaluate agent harnesses, context management, model integrations and quality controls. Relevant experience includes Claude Agent SDK, OpenAI Codex SDK, Strands Agents, LangChain Deep Agents, LangGraph or a comparable custom runtime. Platform architect: Lead backend, connector, security, data and workflow architecture. Bring deep production systems experience and practical knowledge of integrating model-driven workflows. Our stack Python FastAPI, React and T