Saviynt

Principal Engineer, Full-Stack, Agentic AI

Saviynt

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $215,000 - $280,000 per year

Job Level

Lead

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformJavaJavaScriptKubernetesMicroservicesNode.jsReactSpringTypeScript

About the role

  • 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.

Requirements

  • 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.