Location: Noida Berger Tower, India Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.
Present in India since 1953, Thales is headquartered in Noida and has other operational offices and sites spread across Delhi, Gurugram, Bengaluru and Mumbai, among others. Over 2200 employees are working with Thales and its joint ventures in India. Since the beginning, Thales has been playing an essential role in India’s growth story by sharing its technologies and expertise in Defence, Aerospace and Cyber & Digital sectors.
Thales has two engineering competence centres in India - one in Noida focused on Cyber & Digital business, while the one in Bengaluru focuses on hardware, software and systems engineering capabilities for both the civil and defence sectors, serving global needs. The Group has also established an MRO (Maintenance, Repair & Overhaul) facility in Gurugram to provide comprehensive avionics maintenance and repair services to Indian airlines and support the growth of the local aviation industry.
Position Summary The System Architect, based in Noida, will define the technical vision and target architecture for secure, scalable IAM platforms and AI-native engineering capabilities. The role combines deep systems architecture expertise with hands-on leadership in agentic AI, AI coding agents, and modern software delivery. The architect will design identity capabilities for workforce, customer, partner, machine, workload, and AI-agent identities, covering authentication, authorization, governance, adaptive access, threat detection, and secure delegation.
The role will lead AI-native practices across architecture, development, testing, security, deployment, and operations. The successful candidate must use and govern AI coding agents in real engineering workflows and design agentic systems with bounded autonomy, traceability, and enterprise-grade quality, security, privacy, and compliance. Essential Functions / Key Areas of Responsibility Own the target architecture and roadmap for IAM and AI-enabled platforms, aligned with business strategy, Zero Trust, privacy, security, and responsible AI.
Architect identity, lifecycle, credential, authorization, delegation, governance, audit, and threat-detection capabilities for human and non-human identities. Design agentic AI systems that plan, use tools, collaborate, and execute multi-step workflows within defined security and operational boundaries. Define guardrails for agent identity, least privilege, human approval, tool access, runtime isolation, context, observability, auditability, and safe failure.
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.
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 strong 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 to deliver secure, auditable, resilient solutions. Mentor archite