Architecture Design : Technical Guidance : Provide leadership and mentorship to teams, promoting best practices in generative AI development and deployment.
Project Management : Oversee the end-to-end process of generative AI solutions from ideation through delivery and operationalization.
Performance Monitoring : Monitor, optimize, and troubleshoot production systems to maintain high performance of AI applications.
Define and deliver quality API access for various generative AI services.
Educational Background :Bachelor's degree with 8+ years of experience; Master's degree with 7+ years of experience; PhD with 3+ years of experience in relevant fields (e.g., Computer Science, Engineering).
Experience :Proven experience as an Enterprise Architect or Solution Architect focusing on AI/ML and generative AI technologies.
Proficiency in programming languages such as Python , R , or Java .
Hands-on experience with machine learning frameworks like TensorFlow , PyTorch , and libraries for deep learning .
Familiarity with cloud platforms (AWS, Azure) and containerization tools (Docker, Kubernetes).
Data Management Skills :
~ Experience with data handling, including data cleansing, preprocessing, and storage solutions (e.g., Snowflake).
Knowledge of large language models (LLMs) such as Microsoft Azure OpenAI (e.g., Understanding of AI agents for decision-making and deployment of complex applications.
Experience in the commercial domain or specific industry knowledge (e.g.,
📌 Digital Transformation Architect (Hyderabad)
🏢 Grid Dynamics
📍 Hyderabad
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