Location: India

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.

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.

● Experience: 15+ years of technical engineering experience, with at least 4+ years of dedicated leadership in leading NLP, Deep Learning, and Generative AI applications.

● Hyperscaler & AI Ecosystem Depth: Extensive hands-on experience with GCP (Vertex AI, BigQuery, GKE) , Anthropic model suites, and deep familiarity with frameworks like LangChain, LlamaIndex, or CrewAI/Autogen for agentic setups.

● Core GenAI Skills:Proven expertise in building production RAG frameworks, advanced prompt optimization, and applying parameter-efficient fine-tuning techniques (LoRA, PEFT).

● Strong background in full-stack architecture, featuring elite Python skills, API/Microservices design (FastAPI, Django, or Flask), and exposure to modern UI engineering patterns for AI interactions.

● Infrastructure & MLOps Mastery:Proficient with Docker, Kubernetes, and automated CI/CD infrastructure, ensuring reliable scaling, low latency, and robust mitigation against LLM vulnerabilities (hallucinations, security bias).

● Data Engineering Literacy:Solid fundamentals in distributed computing, vector databases (e.g., Pinecone, Milvus, pgvector), and cloud data warehouse ecosystems.

● Leadership & Influence:Strong executive presence, capable of fluidly pivoting from technical deep-dives with engineers to strategic product roadmap discussions with enterprise buyers.

Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.