AIML Architect

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.
Strong 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.