Software Engineer

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.

Part of the team to build the Onboarding and AI Platform. The team builds an AI-based platform and onboarding experience for customers.

WHAT YOU WILL BE DOING

• You will build the Pilot Rail (the human-in-the-loop approval interface for AI-generated plans), execution wave UIs (step-by-step progress tracking for multi-day agent workflows), and the policy gap reporting surface. 
• Also will be responsible for connector health APIs, IaC template generation endpoints, plan envelope management, and the approval chain service.
• Across various products, you will contribute to the shared platform layer: the signed context packet format (the structured memory object passed between the human UI and the agent), the plan state machine (the lifecycle model for AI-generated plans from draft through approval to execution), the Pilot agent panel (the contextual guidance component embedded in every wizard and workflow), and the audit log service.
• Work across multiple agent platforms like AWS Bedrock, Google AgentSpace, Salesforce AgentForce, building foundational solutions, using cloud, SAAS  and AI design patterns and technologies.
• Use AI and Agents to secure AI, using CUA agents, various LLM’s, agentic frameworks like ADK, Langchain, among others. 
• Design and develop secure, scalable, multi-tenant software solutions that run seamlessly across major cloud platforms like AWS, Azure, and GCP.
• You will design and build product features end-to-end, from the React component through the API route to the database schema. 
• You will write clear, testable code and participate in code review with the expectation that your feedback improves the codebase, not just the PR. 
• You will work directly with product managers and designers to refine requirements before writing a line of code, and you will flag ambiguities early rather than building on an assumption.
• You will be responsible for the quality of your own work. That means writing unit and integration tests, monitoring the services you deploy, and fixing the bugs you introduce. It also means reading error logs, understanding the failure modes of the systems you build, and designing for graceful degradation — all of which are particularly important in an agentic context where the AI layer may be unavailable or return unexpected results.