System Architect

Position Summary

Architecture and IAM

• Own the target architecture and roadmap for IAM and AI-enabled platforms aligned with business strategy, Zero Trust, privacy, security, and responsible AI.
• Architect authentication, authorization, governance, adaptive access, threat detection, secure delegation, lifecycle, credential, and audit capabilities.
• Design agentic AI systems with bounded autonomy, traceability, enterprise-grade quality, security, privacy, and compliance.
• Define guardrails for agent identity, least privilege, human approval, tool access, runtime isolation, observability, auditability, and safe failure.

AI-Native Engineering

• Lead AI-native engineering across requirements, architecture, coding, testing, reviews, documentation, deployment, and operations.
• Use AI coding agents for repository analysis, implementation, refactoring, testing, debugging, code review, documentation, and delivery automation.
• Govern AI-assisted development through approved-tool controls, data protection, output validation, secure review, provenance, and traceability.

Technical Leadership

• Translate business outcomes into reference architectures, decision records, quality attributes, service objectives, and implementation guardrails.
• Architect resilient cloud-native, distributed, event-driven, and API-first systems with production readiness and cost efficiency.
• Lead architecture reviews, threat modeling, technical discovery, proofs of concept, build-versus-buy analysis, and cross-functional decisions.
• Partner with product, engineering, security, data, operations, compliance, and legal teams.
• Mentor architects and engineers and produce reusable architecture guidance, threat models, diagrams, evaluations, and runbooks.

Minimum Requirements

• 12+ years designing and delivering complex software platforms with architecture, technical leadership, and cross-functional delivery responsibility.
• 7+ years of IAM experience covering identity, federation, SSO, MFA, passwordless access, lifecycle governance, privileged access, and fine-grained authorization.
• Hands-on experience designing and building agentic AI solutions using planning, tool invocation, retrieval, context or memory, multi-step workflows, and human or policy controls.
• Hands-on day-to-day use of AI coding agents for repository analysis, implementation, refactoring, testing, debugging, reviews, documentation, and delivery automation.

Location

• The position is based in Noida, India.