Principal Engineer, Full‑Stack (Agentic AI) at Saviynt

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Principal Engineer, Full‑Stack (Agentic AI) at Saviynt. Location Information: United States. The #1 Converged Identity Platform with Intelligent Access Governance for Employees, Third Parties & Machines.. 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.. 12+ years in software engineering including backend: Java/Spring or , 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.. 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.. Familiarity with Identity Governance & Administration (IGA), Privileged Access Management (PAM), or Connector frameworks is a strong plus. 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.. Pay range:. $215K - $280K