Description

You will design and architect end-to-end Generative AI and Agentic AI solutions.

Responsibilities

• Design scalable AI architectures, patterns, and reusable solutions including POCs and technical demonstrations.
• Evaluate new technologies and standardize strategies for coding, testing, and deployment.
• Lead model development, training, and deployment workflows for NLP and LLMs.
• Oversee data system design and governance to prepare large datasets for model training.
• Define AI pipeline strategies and mitigate security risks within the infrastructure.

Required Skills

• 5+ years of experience in technical leadership or architecture roles.
• Hands-on experience with cloud platforms including Azure, GCP, or AWS.
• Proficiency in Python, R, Java, or C#.
• Expertise in Machine Learning, Deep Learning, and NLP.
• Experience with AI frameworks and application development using OpenAI or Custom GPT/AI Agents.
• Strong knowledge of AI capabilities including vision, speech, language, and decision making.
• Experience with Kubernetes and Git for deployment and operations.
• Ability to design data integration and cleaning pipelines for large-scale datasets.
• Any Graduate degree.

Key Skills

Education

Any Graduate