AI Lead/AI Architect
1 day ago
Experienced Architect with 12–20 years in designing and delivering enterprise-grade fullstack and cloud-native applications, enhanced by strong AI/ML capabilities.
Expert in architecting scalable, modular applications using ReactJS, NodeJS, Python, and Java across microservices and event-driven ecosystems.
Deep knowledge of any of the cloud platforms—AWS, Azure, GCP—with hands-on experience in serverless computing, container orchestration (Docker, Kubernetes), and secure CI/CD pipelines.
Strong foundation in AI/ML, LLMs (OpenAI, Vertex AI, Hugging Face), prompt engineering, and RAG (Retrieval-Augmented Generation) using frameworks like LangChain and LlamaIndex.
Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Firestore) databases for structured and unstructured data modeling, storage, and high-performance querying.
Skilled in building intelligent, user-centric features by embedding AI capabilities into fullstack workflows—delivering context-aware and personalized experiences.
Experienced in vector databases (FAISS, Pinecone, Weaviate) and integrating semantic search into cloud-native applications.
Has knowledge in MLOps practices using MLflow, Kubeflow, and SageMaker for managing end-to-end ML lifecycle and scalable deployments.
Leads cross-functional teams across architecture, engineering, and AI innovation—translating business goals into robust digital platforms.
Strong client-facing presence in solutioning, pre-sales, and roadmap alignment for AI-driven, cloud-first transformation.
Continuously upskilling on GenAI advancements, multi-modal systems, and best practices in scalable fullstack and AI architectures.
Education – BE/B.Tech/ME/M.Tech/MCA/MSc (Computers)
Interview rounds – 3 Technical rounds
Experience level: 12-20 Years
If you're interested in this opportunity, we'd be happy to receive your updated CV. Simply click the email link below, or copy and paste the email address: or
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