Principal Engineer, Full‑Stack (Agentic AI)

Job Description

Job Description

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.