Software Architect, AI Systems and Platform

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.

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.

• 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.

• 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.

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.

Python FastAPI, React and TypeScript, AWS Amplify, Step Functions, Amazon Bedrock AgentCore, Lambda, SQS, EventBridge and API Gateway. Storage uses RDS PostgreSQL, pgvector and S3. Security and operations include KMS, Secrets Manager, CloudWatch and CloudTrail.

We are adding OpenAI and Anthropic model API integrations. An agent harness and a dedicated analytics layer using ClickHouse or BigQuery are planned. You will help choose and implement them.

• Enterprise identity, security products, OAuth, OIDC, SAML, SCIM or complex customer integrations.
• ClickHouse, BigQuery, agent evaluations, post-training systems or open-source infrastructure.
• Building a new product within a larger enterprise and keeping technical decisions reversible.

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