AI Architect

Saviynt’s Expert Services team is building AI-first capabilities that fundamentally change how identity governance solutions are delivered at scale. We are creating a new category of intelligent automation at the intersection of identity security and applied AI.

 

As our AI Architect, you will define the technical vision and system architecture for these capabilities. You’ll make foundational decisions on how large language models, agentic workflows, and domain-specific AI integrate with Saviynt’s platform to deliver production-grade automation. This role requires someone who can operate at both the whiteboard and the codebase — bridging deep AI/ML systems expertise with enterprise identity domain knowledge.

• Define and own the end-to-end technical architecture for Saviynt’s AI-powered delivery automation capabilities across Expert Services.
• Design scalable, production-grade system architectures spanning LLM orchestration, intelligent data processing, agentic workflows, and human-in-the-loop governance patterns.
• Establish architectural standards for AI system quality: output validation, confidence-based routing, deterministic verification, and graceful degradation strategies.
• Architect integration patterns between AI automation systems and Saviynt’s core platform, ensuring generated outputs meet enterprise deployment standards.
• Lead the technical vision for emerging AI and identity governance use cases, including non-human identity management, AI agent governance, and behavioral analytics.
• Evaluate, select, and integrate AI/ML infrastructure — including LLM providers, embedding models, vector stores, and retrieval systems — based on cost, latency, and accuracy trade-
offs.
• Design state management, persistence, and observability layers for multi-stage AI-driven workflows.
• Partner with Engineering, Product, and Expert Services leadership to align the AI automation roadmap with Saviynt’s broader product and go-to-market strategy.
• Mentor and guide the AI development team on architectural best practices, code quality, and system design principles.
• Create and maintain architecture decision records (ADRs), system design documents, and technical reference architectures

• 8+ years of software architecture or senior engineering experience, with at least 3 years focused on AI/ML system design.
• Deep expertise in LLM application architecture: prompt engineering, tool-use / function- calling patterns, agentic frameworks, and multi-model orchestration.
• Strong background in distributed systems design, microservices, event-driven architecture, and API-first platforms.
• Hands-on experience with cloud infrastructure (AWS preferred): compute, storage, serverless, secrets management, IAM, and container orchestration.
• Proven ability to design systems that balance AI flexibility with enterprise-grade reliability, auditability, and security requirements.
• Experience with Identity & Access Management (IAM), Identity Governance (IGA), or enterprise security platforms.
• Track record of leading architectural decisions across cross-functional teams and influencing product roadmaps.
• Exceptional communication skills; ability to present complex architectures to executive stakeholders and partners.

 

PREFERRED QUALIFICATIONS

• Direct experience with identity governance platforms such as Saviynt, Oracle Identity
Manager, SailPoint, or comparable solutions.
• Familiarity with agentic AI standards, tool-use frameworks, or AI orchestration protocols.
• Experience architecting multi-tenant SaaS platforms or building platforms consumed by
Expert Services teams.
• Background in Solutions Architecture, Forward Deployed Engineering, or technical
consulting in enterprise software.
• Knowledge of AI governance frameworks, responsible AI principles, and compliance
considerations for AI in regulated industries.
• Experience with workflow orchestration platforms at production scale

 

 

- Complete security & privacy literacy and awareness training during onboarding and annually thereafter

- Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):

> Data Classification, Retention & Handling Policy

> Incident Response Policy/Procedures

> Business Continuity/Disaster Recovery Policy/Procedures

> Mobile Device Policy

> Account Management Policy

> Access Control Policy

> Personnel Security Policy

> Privacy Policy