Associate Principal Software Engineer, AI Onboarding
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Responsibilities
- 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.
- 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 contribute to the team's engineering standards: API design conventions, component patterns, state management approaches, and the shared vocabulary used across the codebase. You are not expected to define these standards alone, but you are expected to engage with them seriously.
- We do not expect you to architect the system, lead the team, or have opinions on every technology choice. We do expect you to be curious, to read the codebase before asking questions it can answer, and to take pride in the quality of what you ship.
- WHAT YOU BRING
- Required:
- You have 6-10 years of professional software engineering experience, with at least one year building production web applications. You are comfortable working across the full stack and have a clear preference for writing code that other engineers can read and maintain.
- Working with LLM APIs (OpenAI, Anthropic, Amazon Bedrock) or agent frameworks (LangChain, LangGraph, or similar).
- You have experience building REST APIs in Python or a comparable language. You understand HTTP semantics, JWT authentication, and the basics of relational database design.
- You have written SQL queries, understand indexing at a conceptual level, and know when to reach for an ORM versus raw SQL.
- You have worked with Git in a team environment - branching, pull requests, code review - and you understand why these practices exist.
- You have deployed code to a cloud environment (AWS, Azure, or GCP) at least once and have a basic understanding of what happens between `git push` and a user seeing your change.
Requirements
- On the frontend, you have solid working knowledge of React and TypeScript. Yo
Additional Information
ASSOCIATE PRINCIPAL 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.
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Company Intel
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