Chief Architect

Accountabilities Architecture and innovation: Evaluate existing platform architecture, identify opportunities for transformation, and design innovative solutions that incorporate emerging AI technologies and modern engineering practices. AI strategy and adoption: Champion AI integration across engineering and product development, challenge conventional approaches, and establish a clear technical vision aligned with business objectives. Strategic technical leadership: Partner with engineering executives and senior leadership to translate complex technological developments into actionable architectural strategies and product roadmaps. Scalability and performance: Design and oversee distributed cloud architectures and data pipelines capable of supporting large-scale workloads, high-volume identity operations, and global traffic while maintaining security and reliability. Identity and security architecture: Guide the evolution of identity and access management, directory services, Zero Trust, and endpoint management capabilities, ensuring robust security and dependable access controls. Technical mentorship: Coach engineers and engineering managers, encourage knowledge sharing, and elevate technical standards and problem‑solving capabilities throughout the organization. Competitive intelligence: Analyze competing technologies, monitor developments in AI and identity management, anticipate market trends, and translate findings into architectural advantages. Agile architectural evolution: Continuously assess new AI models, frameworks, cloud technologies, and security requirements, adapting architectural decisions as the technology landscape evolves. Proofs of concept and technical validation: Contribute hands‑on coding and experimentation where appropriate to validate new concepts, accelerate development, and demonstrate the feasibility of architectural improvements. Security, privacy, and governance: Promote secure and responsible AI adoption by incorporating data protection, privacy, ethical considerations, and regulatory requirements into architectural decisions. Operational reliability: Support dependable production systems and participate in assigned on‑call rotations to help ensure timely responses to operational alerts and incidents. Requirements Professional experience: At least 15 years of experience in software engineering and architecture, including a minimum of four years focused on deep AI integrations. Identity domain expertise: Demonstrated experience in Identity and Access Management (IAM), Directory-as-a-Service (DaaS), Zero Trust security, endpoint management, or comparable enterprise identity platforms. AI and architectural expertise: Strong knowledge of AI integration strategies, modern software architecture, distributed systems, and scalable cloud-based platforms. Large-scale systems: A proven track record of designing, building, and maintaining distributed architectures and data pipelines that operate reliably under substantial workloads. Technical adaptability: A demonstrated ability to challenge established practices, experiment with emerging technologies, and rapidly adapt architectural strategies to evolving business and technical requirements. Leadership and mentorship: Extensive experience guiding senior technical professionals, mentoring engineers, influencing engineering managers, and improving technical capabilities across teams. Executive communication: Exceptional communication skills, with the ability to explain complex technical concepts clearly and provide actionable recommendations to executive stakeholders. Analytical and strategic thinking: Strong ability to evaluate competing products, identify industry trends, assess technical trade-offs, and translate market intelligence into effective architectural decisions. Security and privacy knowledge: Familiarity with data protection regulations such as GDPR and CCPA, AI ethics, and secure system design is highly desirable. Programming skills: Hands‑on proficiency in a modern programming language such as Python, Go, Rust, or a comparable language, particularly for rapid prototyping and proof‑of‑concept development, is preferred. Cloud-native technologies: Advanced knowledge of AWS, Google Cloud Platform, or Microsoft Azure, along with containerization and orchestration technologies such as Docker and Kubernetes, is an advantage. Industry engagement: Experience with technical publications, conference presentations, open‑source contributions, or public advocacy for AI and emerging technologies is a plus. High‑growth experience: Previous experience working in a fast‑growing technology company, particularly in an environment characterized by rapid innovation and changing priorities, is beneficial. Communication requirements: Fluency in written and spoken English is required, as the organization operates across multiple countries and conducts its recruitment process primarily in English. Location and availability: Candidates must reside in India and be authorized to work there. Willingness to participate in scheduled on‑call rotations is also required. Benefits Remote-first work environment: Work remotely from within India, with flexibility in where you work. Strategic leadership exposure: Collaborate directly with senior engineering leadership and contribute to major architectural and product decisions. Meaningful technical impact: Shape AI-driven innovation in identity management, access security, and enterprise IT infrastructure. Professional growth: Work with experienced professionals across a globally distributed organization and continuously develop your technical and leadership expertise. Innovation-focused culture: Opportunities to experiment with emerging technologies, introduce new ideas, and influence engineering best practices. Collaborative environment: Join an international team that values knowledge sharing, inclusion, and meaningful professional relationships. Career development opportunities: Expand your influence across architecture, AI strategy, cloud infrastructure, and enterprise security. Competitive employment opportunity: Compensation and any additional benefits are determined by the hiring company; the original posting does not specify salary, equity, healthcare coverage, or paid leave details. #J-18808-Ljbffr