AI Architect

Ovii's Interpretation of the Role

The AI Architect will own the technical vision and end‑to‑end architecture for Saviynt’s AI‑driven identity automation. You will design production‑grade LLM orchestration, agentic workflows, and integration patterns while mentoring the AI development team.

Role Snapshot

• Define AI system architecture
• Lead technical vision for AI automation
• Design scalable LLM orchestration
• Integrate AI with identity platform
• Establish AI quality and safety standards
• Mentor AI development team

Must-Have Requirements

• Software architecture / senior engineering experience
• AI/ML system design (minimum 3 years)
• LLM application architecture (prompt engineering, tool‑use, agentic frameworks)
• Distributed systems / microservices / event‑driven design
• AWS cloud infrastructure (compute, storage, serverless, containers)
• IAM / IGA experience
• software architecture
• AI/ML system design

Nice-to-Have Signals

• Experience with identity governance platforms such as Saviynt, Oracle Identity Manager, SailPoint
• Familiarity with agentic AI standards or orchestration protocols
• Architecting multi‑tenant SaaS platforms
• Knowledge of AI governance frameworks and responsible AI principles
• Experience with production‑scale workflow orchestration platforms
• identity governance platform experience
• agentic AI standards
• multi‑tenant SaaS architecture

Work Setup

• Location: Bengaluru, India
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Not Specified in JD

• Salary range
• Visa sponsorship
• Remote eligibility
• Travel requirement
• Security clearance
• Coding test

What You'll Likely Work On

• Own end‑to‑end technical architecture for AI‑powered delivery automation
• Design scalable, production‑grade systems for LLM orchestration, data processing, and human‑in‑the‑loop governance
• Set architectural standards for output validation, confidence routing, and graceful degradation
• Create integration patterns between AI automation and Saviynt’s core identity platform
• Select and integrate AI/ML infrastructure (LLM providers, embedding models, vector stores) based on cost, latency, and accuracy
• Build state‑management, persistence, and observability layers for multi‑stage AI workflows
• Partner with Engineering, Product, and Expert Services leadership to align roadmap with go‑to‑market strategy
• Mentor the AI development team on best practices, code quality, and system design

Good Fit If You Have

• Direct experience with Saviynt or comparable identity governance platforms (e.g., Oracle Identity Manager, SailPoint)
• Familiarity with agentic AI standards or AI orchestration protocols
• Background designing multi‑tenant SaaS platforms