India · Executive
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Senior Hiring : Full- Stack GenAI & Hyperscaler Solutions Location: India Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are a Great Place to Work Certified? , recognized globally for our dedication to innovation and excellence. Curious about the role? What your typical day would look like? We are seeking a highly technical, visionary, and hands-on Leaders to champion our full-stack AI Centers of Excellence (CoEs). In this leadership role, you will sit at the intersection of advanced AI solutioning, hyperscaler ecosystems (specifically GCP/AWS/Azure), and robust full-stack engineering. You will be responsible for designing and deploying end-to-end Agentic AI systems, bringing both deep technical execution and executive-level solutioning to our clients. If you are passionate about moving beyond simple wrappers to engineer robust, enterprise-grade cognitive architectures, this role is for you. As part of this role, you will: ? Drive Hyperscaler CoE Innovation: Architect and scale full-stack GenAI solutions heavily integrated with hyperscaler ecosystems, with a deep focus on GCP (Vertex AI), Anthropic (Claude/Cortex), and adjacent modern AI stacks. ? Architect Agentic Systems: Design and build autonomous, end-to-end Agentic AI systems, multi-agent orchestrations, and production-grade RAG pipelines capable of solving complex corporate workflows. ? Lead Full-Stack AI Engineering: Oversee the end-to-end development lifecycle, from sophisticated prompt engineering and LLM fine-tuning (LoRA, PEFT) to robust backend microservices and responsive application layers. ? Ensure Enterprise Deployment & MLOps: Bridge the gap between AI modeling and core infrastructure by owning cloud scalability, containerization, robust error management, and automated CI/CD/MLOps monitoring pipelines. ? Deliver Strategic Solutioning: Partner closely with senior leadership and client stakeholders to translate intricate business challenges into scalable, production-ready AI blueprints. ? Mentor and Build Elite Teams: Cultivate, mentor, and scale a high-performing team of AI full-stack engineers and data scientists, fostering a culture of technical excellence and aggressive innovation.
15 to 20 years
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