We are looking for an experienced AI Architect / Senior AI Architect to join our technology team and drive the design and implementation of enterprise-scale AI, GenAI, Big Data and Cloud solutions . Location: Noida/Gurgaon/Indore/Pune/Bangalore/Hyderabad/Chennai Experience: 10–20 Years Role: AI Architect / Senior AI Architect What You’ll Do Design and architect enterprise-grade AI/ML and Generative AI solutions . Lead architecture for LLM, RAG, GenAI and AI-powered applications . Design scalable Big Data architectures and data pipelines supporting AI workloads. Architect and deploy solutions on AWS Cloud , leveraging services such as SageMaker, Bedrock, S3, Lambda, ECS/EKS, DynamoDB and IAM . Define architecture standards, design patterns, security practices and governance frameworks. Work closely with Data Engineering, ML Engineering, GenAI, Product and DevOps teams to deliver production-ready solutions. Drive POCs, technical evaluations and adoption of emerging AI technologies . Ensure AI platforms meet requirements around scalability, security, performance, reliability and cost optimization . Mentor senior engineers and architects and provide technical direction across AI initiatives. Present architecture, technology strategy and AI roadmaps to senior/executive stakeholders.



What We’re Looking For ✅ 10–20 years of overall technology experience ✅ Strong experience in Big Data / Data Engineering architecture ✅ Hands-on expertise in Generative AI, LLMs and RAG ✅ Strong AWS Cloud architecture experience ✅ Excellent Python programming skills ✅ Experience with SageMaker / Bedrock / EKS / ECS / Lambda / S3 / IAM ✅ Knowledge of PyTorch / TensorFlow / Hugging Face and up-to-date AI frameworks ✅ Strong understanding of MLOps, CI/CD, model deployment, monitoring and observability ✅ Experience designing scalable enterprise data and AI platforms ✅ Strong stakeholder management and architecture presentation skills ⭐ Good to Have Multi-cloud experience across AWS / Azure / GCP Experience with Vector Databases, LangChain, LangGraph and AI Agents Enterprise SaaS integrations such as Salesforce / ServiceNow Experience with responsible AI, AI governance and security Experience working in large-scale enterprise or regulated environments Ideal Profile We’re looking for someone who can go beyond individual AI models and architect the complete ecosystem — Data → Big Data Platform → LLM/GenAI → RAG → Cloud → MLOps → Production . If you are passionate about building scalable, secure and business-focused AI solutions , we would love to hear from you.

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