Hybrid AI Associate Principal Engineer

Posted 28 minutes ago

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About the role

  • AI Associate Principle Engineer building and deploying AI agents for Saviynt’s identity platform. Bridging technical needs across teams to improve customer solutions in identity governance.

Responsibilities

  • Build and deploy AI agents that automate customer escalation workflows — reducing resolution times and improving engineering efficiency.
  • Integrate agentic capabilities into identity platforms, translating customer needs into engineering roadmap contributions.
  • Drive innovation at the intersection of AI, Identity Governance (IGA), and cybersecurity — helping enterprises govern Non-Human Identities and agentic workflows.
  • Serve as a technical liaison between Customer Support, Customer Success, Sales Engineering, and Product — bridging the gap between customer pain points and scalable solutions.
  • Engage directly on customer calls to represent Engineering and, where needed, prepare Engineering executives ahead of escalations.
  • Identify and champion tooling improvements — proposing new troubleshooting and performance analysis tools that raise the bar for the wider engineering org.
  • Track and report on escalation metrics, providing executive-level summaries and holding teams accountable to resolution timelines.
  • Help the CE team navigate competing priorities and align on strategies that move the needle for the business.

Requirements

  • 10+ years of software engineering experience, with 8+ years in customer-facing or customer engineering roles.
  • Proven experience in large-scale, multi-tenant production environments.
  • Curiosity and fluency across modern AI tooling — MCP, A2A protocols, agentic frameworks — and a mindset for continuous learning in uncharted territory.
  • Hands-on experience with AI-assisted SDLC tools (Amazon Q, GitHub Copilot, Cursor, Claude, or similar).
  • Strong command of testing practices — unit, functional, and system integration — and agile methodologies (Scrum and Kanban).
  • Solid experience with Git, CI/CD pipelines, and automated deployments.
  • Deep understanding of APIs, enterprise integrations, and distributed systems.
  • Outstanding communication skills — equally comfortable in an engineering deep-dive and a customer executive briefing.
  • Experience in Identity & Access Management (IAM / IGA) strongly preferred; familiarity with Zero Trust, PAM, or governance frameworks is a meaningful plus.

Benefits

  • Security & privacy literacy training during onboarding and annually thereafter
  • Review and adhere to Information Security/Privacy Policies and Procedures
  • Growth and learning opportunities

Job title

AI Associate Principal Engineer

Job type

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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