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.
- Collaborate with QE teams to integrate AI into testing frameworks and CI/CD pipelines.
- Evaluate and implement AI services using Azure OpenAI, Google Cloud (GHCP), and other cloud platforms.
- Guide the development and deployment of machine learning models using best practices in MLOps.
- Mentor data scientists and engineers, and lead cross-functional AI initiatives.
- 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.




Robust hands-on experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Proven expertise in LLMs, Agentic AI, and cloud-based AI services (Azure OpenAI, GHCP).
- Deep understanding of QE frameworks, test automation, and DevOps pipelines.
- Experience with data engineering, feature engineering, and model lifecycle management.
- 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 (Hyderabad)
🏢 Hucon Solutions
📍 Hyderabad