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System Architect

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System Architect in Others

  • Noida, India

Responsibilities

  • Own the target architecture and roadmap for IAM and AI-enabled platforms aligned with business strategy, Zero Trust, privacy, security, and responsible AI.
  • Design identity, lifecycle, credential, authorization, delegation, governance, audit, and threat-detection capabilities for human and non-human identities.
  • Design agentic AI systems with planning, tool use, multi-step workflows, bounded autonomy, human approval, runtime isolation, observability, and safe-failure controls.
  • Lead AI-native engineering across requirements, architecture, coding, testing, reviews, documentation, deployment, and operations.
  • Use and govern AI coding agents for repository analysis, implementation, refactoring, testing, debugging, code review, documentation, and delivery automation.
  • Architect resilient, cloud-native, distributed, event-driven, and API-first systems with strong production readiness and cost efficiency.
  • Lead architecture reviews, threat modeling, technical discovery, proofs of concept, build-versus-buy analysis, and cross-functional technical decisions.
  • Partner with product, engineering, security, data, operations, compliance, and legal teams to deliver secure, auditable, resilient solutions.
  • Mentor architects and engineers and produce architecture guidance, threat models, diagrams, evaluations, and runbooks.

Requirements

  • 12+ years of experience designing and delivering complex software platforms with substantial architecture, technical leadership, and cross-functional delivery responsibility.
  • 7+ years of IAM experience covering customer or workforce 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 experience using AI coding agents for repository analysis, implementation, refactoring, testing, debugging, reviews, documentation, or delivery automation.
  • Experience governing AI-generated code through human review, automated testing, security scanning, secrets and dependency checks, provenance, and auditability.
  • Strong generative AI knowledge covering models, prompt and context engineering, retrieval, model and tool selection, evaluation, observability, cost, and responsible AI.
  • Strong experience with cloud-native, distributed, multi-tenant systems, APIs, asynchronous messaging, containers, infrastructure as code, automated delivery, and observability.
  • Deep IAM knowledge including OAuth, OpenID Connect, SAML, SCIM, FIDO2/WebAuthn, passkeys, PKI, workload identity, secrets, and policy-based authorization.
  • Strong system-design fundamentals across domain and API design, resilience, consistency, scalability, performance, security, privacy, data architecture, and operations.
  • Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience.
  • Preferred qualifications include experience with AI-agent identity and authorization, agent-to-tool and agent-to-agent integration, Model Context Protocol, AI-assisted engineering adoption, AI red-teaming and incident response, adaptive access, behavioral analytics, threat detection, model-agnostic AI platforms, and software or AI supply-chain security.
  • Strong written and spoken English communication skills.

Benefits

  • Supportive workplace culture emphasizing respect, trust, collaboration, passion, and inclusion.
  • On-site location at Noida Berger Tower, India.

Thales

Thales (Euronext Paris: HO) is a global leader in advanced technologies for the Defence, Aerospace, and Cyber & Digital sectors. Its portfolio of innovative products and services addresses several major challenges: sovereignty, security, sustainability and inclusion. The Group invests more than €...

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