Ai architect

1 week ago

India Weekday AI Full time ₹ 20,00,000 - ₹ 30,00,000

This role is for one of the Weekday's clients

Salary range: Rs Rs 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.

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