We are seeking an experienced AI Architect to lead the design and implementation of cutting-edge AI solutions from concept to production. This role combines deep technical expertise in AI/ML with strong leadership and communication skills to bridge business needs with engineering excellence. The ideal candidate will have 7 + years of experience building production-grade AI systems, with particular expertise in LLMs, cloud platforms, and end-to-end project delivery. You'll architect scalable AI solutions, guide technical teams through complex implementations, and balance cutting-edge innovation with practical business outcomes.
Job Description :
We are looking for an experienced AI Architect with hands-on expertise in Generative AI and Agentic AI to design, develop, and deploy production-grade, enterprise-scale AI solutions. The ideal candidate should have solid proficiency in Python, Machine Learning , and multi-agent system orchestration , with proven experience delivering end-to-end implementations with minimal supervision.
Key Responsibilities
Design, build,



and orchestrate multi-agent systems capable of autonomous decision-making and task execution.
Lead the development and deployment of Generative AI solutions using LLMs and fine-tuned models.
Implement RAG (Retrieval-Augmented Generation) pipelines with robust document parsing, re-ranking, and context optimization.
Integrate AI agents into enterprise systems through APIs, function calling, and workflow orchestration frameworks (e.g., Lang Graph, Crew AI, Llama Index, Haystack).
Fine-tune and evaluate LLMs (using Lo RA, PEFT, or QLo RA) for domain-specific use cases.
Collaborate cross-functionally with data, platform, and Dev Ops teams to ensure scalable and secure AI deployments.
Ensure production-grade quality performance optimization, monitoring, and continuous improvement.
Provide technical mentorship to junior engineers (minimal team handling required).
Required Skills & Experience
7 -15 years of total ex

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