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.




Solid 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.

📌 Agentic AI Architect - GEN AI Machine Learning (Hyderabad)
🏢 Hucon Solutions
📍 Hyderabad