JD / Skillset :-

Key Responsibilities: -

Collaborate with data scientists, engineers, and product managers to identify AI opportunities and define project requirements.
Evaluate and select appropriate AI technologies, tools, and platforms to optimize performance and scalability.
Lead the development of AI algorithms and models, ensuring they are robust, efficient, and aligned with best practices.
Conduct research on emerging AI trends and technologies to inform strategic decisions and maintain a competitive edge.
Oversee the integration of AI solutions into existing systems and workflows, ensuring seamless functionality.
Provide technical guidance and mentorship to team members on AI-related projects and initiatives.
Monitor and evaluate the performance of AI models, making necessary adjustments to improve accuracy and efficiency.
Communicate complex AI concepts and solutions to non-technical stakeholders in a clear and concise manner.
Develop a deep understanding of Azure solution architecture, including infrastructure, services, cost management, and monitoring.

Skill :-

Proven experience as an AI Architect or in a similar role, with a strong portfolio of successful AI projects.
Experience with Azure cloud platforms and big data technologies, specifically Azure Data Lake, Databricks, and other big data processing tools (e.g., Spark).
Good Understanding of Machine Learning Algorithms , Deep Learning, Natural Language processing, and Computer Vision.
Understanding of Cloud Infrastructure , services, cost management, and monitoring.
Knowledge of AI tools and GenAI and Agentic AI frameworks .
Exposure to cloud architecture principles and practices, with a focus on improvement.
Ability to learn quickly and adapt to new technologies and methodologies.
Experience in deploying AI solutions in production environments.
Knowledge of data engineering and data management best practices.
Understanding of system design principles and cloud deployment strategies.

AI Architect - (Artificial Intelligence)