Principal Engineer, Full-Stack at Saviynt – United States

Summary

Join Saviynt’s R&D team and lead the development of agentic AI capabilities for its Enterprise Identity Cloud platform. As a Principal Engineer, you will lead requirements analysis, software architecture, and design for full-stack systems. Develop scalable, secure cloud-native services combining various technologies and AI-driven decision logic. Implement autonomous modules capable of planning, proactive actuation, and continuous learning, while ensuring transparency and controllability. Mentor and lead engineers, collaborating cross-functionally to align AI behaviors with security, privacy, and compliance goals. Document development, maintain existing services, and create 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
• 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
• 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?”
• 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

Responsibilities

• 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

Preferred Qualifications

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

Benefits

$215,000 – $280,000 a year