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Saviynt

Principal Engineer, Full‑Stack (Agentic AI)

Posted 10 Days Ago
In-Office or Remote
2 Locations
215K-280K Annually
Expert/Leader
In-Office or Remote
2 Locations
215K-280K Annually
Expert/Leader
Lead requirements analysis, design full-stack systems with agentic AI, develop cloud-native services, mentor teams, and integrate AI-driven components.
The summary above was generated by AI
About Saviynt & This Role

Saviynt’s Enterprise Identity Cloud empowers organizations to transform digitally while maintaining top-tier security and compliance. We’re seeking a highly experienced Principal Engineer to elevate our platform with agentic AI capabilities—smart systems that think, adapt, and act beyond traditional interfaces.

Join a collaborative, global R&D team dedicated to building the future of identity intelligence—ones that reason, anticipate, and deliver outcomes autonomously while ensuring transparency, controllability, and enterprise-grade reliability.


What You’ll Be Doing

Lead requirements analysis, software architecture, and design for full-stack systems infused with agentic AI components.

Develop scalable, secure cloud-native (AWS/Azure/GCP) services combining REST/microservices, modern frontend frameworks, and AI-driven decision logic.

Implement autonomous modules capable of planning, proactive actuation, and continuous learning.

Integrate explainability, feedback loops, and safe-guard mechanisms into agentic behaviors.

Drive best practices in coding standards, code reviews, automated testing, CI/CD, and DevOps workflows.

Mentor and lead engineers in building trustworthy, agentic systems while championing Agile/Scrum methodologies.

Collaborate cross-functionally to align AI behaviors with security, privacy, UX, and compliance goals.

Document development lifecycle, maintain existing services, and originate new agentic capabilities.


What You Bring

12+ years in software engineering including backend: Java/Spring or Node.js, REST, microservices, and containerization (Docker, Kubernetes)

Frontend experience: React, TypeScript, CSS, UI component libraries, accessibility, and emerging micro-frontend architecture (preferred)

Cloud platforms experience (AWS, Azure, or GCP), DevOps, observability, CI/CD pipelines.

Prior involvement with AI/ML systems, ideally including autonomous or agentic behavior design, prompt engineering, reinforcement learning, or rule-based reasoning systems.

Comfortable balancing reactive and proactive systems and integrating human-in-the-loop control and transparency.


Leadership & Domain Knowledge

Proven record leading engineering teams—planning, mentoring, delivering complex enterprise solutions.

Excellent communication and consensus-building skills; able to explain sophisticated AI behavior clearly.

Proactive, customer-centric mindset: able to ask “what could this agent do next?” rather than simply “what did the user ask?”

Familiarity with Identity Governance & Administration (IGA), Privileged Access Management (PAM), or Connector frameworks is a strong plus


Soft Skills & Qualifications

Adaptability in fast-paced, changing environments.

Keen attention to ethical and responsible AI practices, especially around autonomy and security.

Bachelor’s or Master’s degree in CS, Engineering, or equivalent experience.


Why Saviynt & This Role Matters

You’ll be at the forefront of AI-first enterprise security, pioneering systems that transcend reactive automation—think proactive identity defense, self-adjusting access controls, and autonomous compliance workflows.

Impactful innovation: play a defining role in shaping AI-driven identity platforms.

Technical leadership: blend architecture, full-stack development, and agentic AI.

Growth environment: join a high-growth, platform-led company delivering real value to enterprise customers.

Inclusive culture: collaborative, supportive, and mission driven.

Top Skills

AI
AWS
Azure
Ci/Cd
CSS
Docker
GCP
Java
Kubernetes
Microservices
Node.js
React
Rest
Spring
Typescript

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