Agentic AI Architect - GEN AI Machine Learning

Key Responsibilities:

• Architect and lead the development of scalable AI/ML solutions across diverse domains.Design and implement systems leveraging Large Language Models (LLMs) and Agentic AI principles.
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  Collaborate with QE teams to integrate AI into testing frameworks and CI/CD pipelines.
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  Evaluate and implement AI services using Azure OpenAI, Google Cloud (GHCP), and other cloud platforms.
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  Guide the development and deployment of machine learning models using best practices in MLOps.
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  Mentor data scientists and engineers, and lead cross-functional AI initiatives.
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  Ensure AI solutions are ethical, explainable, and aligned with business goals.
  
• Required Skills & Qualifications:
  10+ years of experience in software engineering, with 7+ years in AI/ML.
  Strong hands-on experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
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  Proven expertise in LLMs, Agentic AI, and cloud-based AI services (Azure OpenAI, GHCP).
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  Deep understanding of QE frameworks, test automation, and DevOps pipelines.
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  Experience with data engineering, feature engineering, and model lifecycle management.
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  Excellent communication, leadership, and stakeholder management skills.

Preferred Qualifications:

• Experience with NLP, computer vision, or generative AI.
• Familiarity with tools like MLflow, Kubeflow, or Vertex AI.
• Knowledge of data privacy, AI ethics, and governance.