Saviynt is seeking a Principal Engineer to enhance their Enterprise Identity Cloud platform by integrating agentic AI capabilities, aiming to create smarter, adaptive systems that go beyond traditional interfaces for improved security and compliance.
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.
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.
Other
- 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.
