Saviynt
Identity Security
AIArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“AI Architect at Saviynt. Skills: AI Architecture, LLM Application Architecture, Distributed Systems Design, Cloud Infrastructure. Define end-to-end technical architecture for AI delivery automation. Design scalable system architectures”
What You'll Achieve.
safeguard digital assets; drive operational efficiency; reduce compliance costs; accelerate AI deployment and usage; meet enterprise deployment standards
Industry & Context.
Complete security & privacy literacy and awareness training, adhere to Information Security/Privacy Policies and Procedures
What They're Looking For.
Must Have
8+ years of software architecture or senior engineering experience, 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, multi-model orchestration, background in distributed systems design, microservices, event-driven architecture, API-first platforms, Hands-on experience with cloud infrastructure (AWS preferred), compute, storage, serverless, secrets management, IAM, 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), enterprise security platforms, Track record of leading architectural decisions across cross-functional teams, influencing product roadmaps, Exceptional communication ability to present complex architectures to executive stakeholders and partners
Nice to Have
Direct experience with identity governance platforms such as Saviynt, Oracle IdentityManager, SailPoint, or comparable solutions, Familiarity with agentic AI standards, tool-use frameworks, AI orchestration protocols, Experience architecting multi-tenant SaaS platforms, building platforms consumed by Expert Services teams, Background in Solutions Architecture, Forward Deployed Engineering, technical consulting in enterprise software, Knowledge of AI governance frameworks, responsible AI principles, compliance considerations for AI in regulated industries, Experience with workflow orchestration platforms at production scale
What You'll Do.
Define end-to-end technical architecture for AI delivery automation
Design scalable system architectures
Establish architectural standards for AI system quality
Architect integration patterns
Lead technical vision for AI use cases
Evaluate and integrate AI/ML infrastructure
Design state management
and observability layers
Partner with leadership to align AI roadmap
Mentor AI development team
Create and maintain architecture decision records
How You'll Work.
Team & Collaboration
Partner with Engineering, Product, and Expert Services leadership; Lead architectural decisions across cross-functional teams; Present complex architectures to executive stakeholders and partners
Communication Scope
Exceptional communication ability; present complex architectures
Full Job Description
## Description Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com. ## WHAT YOU WILL DOING • 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 s
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