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Ai architect at Weekday AI. This role is for one of the Weekday's clients. Salary range: Rs 2000000 - Rs 3000000 (ie INR 20-30 LPA). Min Experience: 8 years. JobType: full-time. We are seeking a highly skilled and visionary . AI Architect. to lead the design, development, and deployment of cutting-edge AI solutions across our organization. The ideal candidate will bring deep expertise in . Artificial Intelligence (AI). , . Machine Learning (ML). , . Natural Language Processing (NLP). , and . Deep Learning. , with a strong understanding of architectural principles and scalable systems. This is a senior role for individuals who are not only passionate about AI but can also translate business problems into intelligent systems that drive meaningful impact.. Key Responsibilities. . . Architect AI Solutions:. Design end-to-end architectures for enterprise-scale AI and ML systems, ensuring performance, scalability, security, and maintainability. . . . Lead AI Strategy:. Collaborate with cross-functional teams to define AI strategy and roadmap aligned with business goals. . . . Conversational & Agentic AI:. Build and integrate state-of-the-art . Conversational AI. and . Agentic AI. systems, including chatbots, virtual assistants, and autonomous agents. . . . Model Development:. Guide development and optimization of models for NLP, computer vision, recommendation systems, and other AI domains. . . . Technology Evaluation:. Evaluate and recommend frameworks, tools, and platforms (e.g., TensorFlow, PyTorch, Hugging Face) best suited for various AI initiatives. . . . Data Architecture & Governance:. Work with data teams to ensure high-quality data pipelines and support ethical and compliant use of AI/ML. . . . Mentorship:. Provide technical leadership and mentor teams of AI/ML engineers, researchers, and data scientists. . . . Performance Optimization:. Ensure AI systems operate efficiently at scale, optimizing for latency, throughput, and compute cost. . . Required Skills & Qualifications. . 8–16 years of overall experience, with at least 4+ years in AI/ML architecture roles. . . Strong understanding of AI and ML fundamentals including supervised, unsupervised, and reinforcement learning. . . Hands-on experience with . Deep Learning. , . NLP. , . Transformers. , and . LLMs. (e.g., GPT, BERT, etc.). . . Deep expertise in architecting and deploying . Conversational AI. and . Agentic AI. systems. . . Experience with AI pipeline orchestration using tools such as Kubeflow, MLFlow, or Airflow. . . Proficiency in Python and familiarity with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn). . . Solid knowledge of cloud platforms (AWS, GCP, or Azure) and MLOps best practices. . . Experience integrating AI into large-scale production environments. . . Excellent communication skills and ability to translate complex AI concepts into business solutions. . . Preferred Qualifications. . Master’s or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or related field. . . Experience with . agentic workflows. , self-directed AI systems, and advanced orchestration techniques. . . Prior experience working in high-growth startups or enterprise R&D environments.. . Company Location: India.