AI Architect

Responsibilities

• Develop and maintain AI/ML/GenAI architecture aligned with organizational goals.
• Identify opportunities for AI adoption and create strategic plans for implementation.
• Design and implement AI and machine learning (ML) models to solve complex business problems.
• Select appropriate AI frameworks, tools, and technologies.
• Develop reusable AI and GenAI capabilities and infrastructure, MCP servers, RAG framework, Agentic Framework, A2A protocols, A2M protocol and Model as API’s.
• Collaborate with data scientists, engineers, and business stakeholders to integrate AI into products and services.
• Establish best practices for AI model development, deployment, and maintenance using MLOps and LLMOps.
• Monitor AI system performance and optimize platform scalability, efficiency, and accuracy.
• Conduct experiments, validate models, and improve existing AI solutions.
• Provide tech...