GenAI Architect

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI. We are seeking an experienced GenAI Architect to design and lead the development of large-scale, cloud-native Generative AI platforms and solutions. This role requires deep architectural expertise in Azure, secure API-driven systems, and event-driven architectures, combined with the ability to translate business needs into scalable, production-ready GenAI systems. The ideal candidate will bring strong hands-on and design experience across cloud architecture, security, and distributed systems, with the vision to architect GenAI solutions that are reliable, extensible, and enterprise-grade. Architect and design cloud-native, scalable GenAI platforms leveraging Microsoft Azure services. Define end-to-end system architectures integrating GenAI components with enterprise applications. Design and govern API-first architectures , including REST/GraphQL APIs, service contracts, and integration patterns. Implement security-by-design principles , including identity and access management, network security, data protection, and compliance standards. Design and optimize event-driven architectures using messaging, streaming, and asynchronous processing patterns. Lead architectural decisions around scalability, performance, reliability, and cost optimization. Collaborate closely with engineering, data, AI, and platform teams to ensure successful implementation of architectural designs. Provide technical leadership, mentorship, and architectural guidance across teams. Establish best practices, standards, and reference architectures for GenAI solutions. Review and approve solution designs to ensure alignment with enterprise and cloud architecture standards. Required Qualifications 12+ years of overall experience in software engineering and solution/enterprise architecture roles. Strong experience designing cloud-native architectures on Microsoft Azure . Experience architecting or supporting Generative AI or AI/ML platforms . Experience with Azure AI services, Azure OpenAI, or AI orchestration platforms. Experience with DevOps and cloud-native deployment patterns (CI/CD, IaC). Proven expertise in building scalable, distributed systems using microservices and container-based architectures. Deep understanding of API design and integration patterns , including security and governance. Strong knowledge of security architecture patterns , including authentication, authorization, encryption, and compliance. Hands-on experience designing event-driven systems using queues, topics, or streaming platforms. Excellent ability to translate business requirements into robust technical architectures. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.