AI Architect

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Summary:

1. We are seeking a visionary AI Architect to lead the design development and deployment of advanced AI systems including MCP (Multi-Component Platform) server and client infrastructure chat orchestration frameworks and cutting-edge agentic AI solutions with Data Governance.

2. This role requires deep expertise in AI system architecture multi-agent coordination and scalable infrastructure to enable next-generation intelligent applications.

Key Responsibilities:

and lead the development of agentic AI Chat systems that autonomously perform tasks and show relevant results to questions asked.

and develop MCP server and client architectures ensuring high performance scalability and reliability.

and implement advanced chat orchestration systems to enable seamless multi-turn conversations with context-awareness and dynamic intent handling.

Azure Stack services including Azure Machine Learning Azure Cognitive Services and Azure Kubernetes Service for deploying and scaling AI models.

the design and development of agentic AI models enabling autonomous decision-making agents that can collaborate negotiate and adapt to changing environments.

frameworks and protocols for multi-agent AI coordination and communication to support complex workflows and emergent behaviors.

with cross-functional teams including data scientists ML engineers Data Engineers and product managers to integrate AI solutions into production systems.

technical roadmaps architectural standards and best practices for AI system development.

new AI technologies and frameworks to continuously enhance system capabilities.

system security data privacy and compliance with relevant regulations.

and optimize AI models and infrastructure for latency throughput and resource efficiency.

Required Qualifications:

1. Proven experience as an AI Architect or similar role designing large-scale AI/ML systems.

expertise in AI/ML frameworks (TensorFlow PyTorch etc.) and programming languages (Python).

3. Deep understanding of multi-agent systems agentic AI principles and chat orchestration methodologies. 4. Experience with building and deploying scalable backend services (MCP server/client) and distributed systems.

with NLP conversational AI dialogue management and context-aware AI systems.

knowledge of cloud platforms (Azure) and container orchestration (Kubernetes Docker).

skills in system design microservices architecture and API development.

problem-solving communication and leadership skills.

Preferred Skills:

with reinforcement learning meta-learning or adaptive AI techniques.

with AI ethics bias mitigation and privacy-preserving AI methods.

of event-driven architecture and real-time data processing.

to DevOps practices and CI/CD pipelines for AI applications.

Additional Information :

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Remote Work :

Employment Type :

Full-time

Job Summary:1. We are seeking a visionary AI Architect to lead the design development and deployment of advanced AI systems including MCP (Multi-Component Platform) server and client infrastructure chat orchestration frameworks and cutting-edge agentic AI solutions with Data Governance.2. This role ...