Senior Principal Software Engineer, AI Onboarding
Saviynt - Milpitas, California
Posted May 7, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Principal Software Engineer, AI Onboarding Milpitas, California SENIOR PRINCIPAL SOFTWARE ENGINEER Saviynt is an identity platform built to power and protect the world at work. With the rise of AI and Agents, the identity perimeter needs to be secured at scale. Come join as founding members of Saviynt's AI Security team and enable us to build out AI security for the world's leading enterprises. In a world of digital transformation, where organizations are faced with increasing cyber risk but cannot afford defensive measures to slow down progress, Saviynt's Enterprise Identity Cloud gives customers unparalleled visibility, control and intelligence to better defend against threats while empowering users with right-time, right-level access to the digital technologies and tools they need to do their bestwork. WHAT YOU WILL BE DOING Design, implement, test and release e2e workflows for our AI security product 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 and Azure Act as a technical expert and thought leader, influencing product direction and engineering best practices. Drive continuous improvement in engineering processes, tooling, and operational reliability. Collaborate with internal teams to produce software design and architecture Test and deploy applications and systems Revise, update, refactor and debug code
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