- Company Name
- Saviynt
- Job Title
- Principal Engineer, Full‑Stack (Agentic AI)
- Job Description
-
**Job Title**
Principal Engineer, Full‑Stack (Agentic AI)
**Role Summary**
Lead the design, architecture, and implementation of agentic AI-enabled full‑stack services on cloud platforms. Drive development of autonomous modules, secure microservices, and responsive front‑end experiences, while ensuring explainability, safety, and compliance with enterprise security standards.
**Expectations**
- Deliver enterprise‑grade, cloud‑native infrastructure (AWS/Azure/GCP) and AI systems that autonomously plan, act, and learn.
- Champion best practices in coding, CI/CD, testing, and DevOps.
- Mentor engineering teams, influence product direction, and collaborate with cross‑functional stakeholders (security, privacy, UX).
- Maintain high standards for ethical and responsible AI, ensuring transparency and human‑in‑the‑loop controls.
**Key Responsibilities**
1. Analyze requirements and architect full‑stack solutions integrating agentic AI logic.
2. Develop scalable, secure REST/microservices (Java/Spring or Node.js) and front‑end components (React/TypeScript), deploying on containers (Docker/Kubernetes).
3. Implement autonomous decision modules: planning, proactive actuation, continuous learning, and feedback loops.
4. Embed explainability, safeguard mechanisms, and human‑in‑the‑loop interactions.
5. Establish coding standards, conduct code reviews, enforce automated testing, and oversee CI/CD pipelines.
6. Lead Agile/Scrum practices, mentor junior engineers, and drive technical excellence.
7. Align AI behavior with security, privacy, and compliance requirements.
8. Document architecture, design decisions, and operational runbooks.
**Required Skills**
- 12+ years software engineering, including backend (Java/Spring, Node.js), REST, microservices, Docker, Kubernetes.
- Front‑end proficiency: React, TypeScript, CSS, component libraries, accessibility.
- Cloud expertise: AWS, Azure, or GCP; DevOps tooling, observability, CI/CD.
- AI/ML experience: autonomous/agentic behavior design, reinforcement learning, prompt engineering, rule‑based reasoning.
- Strong architectural judgment, system design, and secure coding practices.
- Leadership: team mentoring, stakeholder communication, Agile facilitation.
- Understanding of Identity Governance & Administration (IGA) or related frameworks is a plus.
**Required Education & Certifications**
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field OR equivalent professional experience.
- Relevant certifications (e.g., AWS Certified Solutions Architect, Kubernetes Administrator, or AI/ML credentials) are desirable but not mandatory.
El segundo, United states
Remote
Senior
11-11-2025