Job Description
Role:- AI Architect
Experience- 8-15years
Location- PAN India
Job Description
We are seeking a visionary AI Architect with 8 –15 years of overall experience to lead the strategic design and implementation of enterprise-scale AI solutions. This role requires deep expertise in Generative AI, Agentic AI, and Responsible AI, along with a strong foundation in AI architecture, solution assessment, and cloud-native AI platforms
• Generative AI (Gen AI), Agentic AI
• Model selection, evaluation, interpretability: Tensor Flow, Py Torch, Hugging Face, NLP, computer vision, time-series modeling.
• AI Strategy, Architecture, and Roadmap Planning
• Python / R / Type Script Programming
• AI Frameworks (Lang Chain, Auto Gen, Azure AI Foundry, Azure AI Agent, Crew AI, Lang Graph, Google ADK)
• Model Context Protocol (MCP), Agent to Agent Protocol
• N-8-N
• Guard Rails, AI Ethics and Regulations
• Prompt Engineering: “Expertise in prompt engineering, LLM operations, and Gen AI deployment best practices.”
• Distillation, RAG, Fine-tuning
• Multi-modal AI, LLMs
• Vector Databases, Embeddings
• Gen AI deployment tools (Docker, Kubernetes)
• AI Solution Assessment and Optimization
Experience- 8-15years
Location- PAN India
Job Description
We are seeking a visionary AI Architect with 8 –15 years of overall experience to lead the strategic design and implementation of enterprise-scale AI solutions. This role requires deep expertise in Generative AI, Agentic AI, and Responsible AI, along with a strong foundation in AI architecture, solution assessment, and cloud-native AI platforms
• Generative AI (Gen AI), Agentic AI
• Model selection, evaluation, interpretability: Tensor Flow, Py Torch, Hugging Face, NLP, computer vision, time-series modeling.
• AI Strategy, Architecture, and Roadmap Planning
• Python / R / Type Script Programming
• AI Frameworks (Lang Chain, Auto Gen, Azure AI Foundry, Azure AI Agent, Crew AI, Lang Graph, Google ADK)
• Model Context Protocol (MCP), Agent to Agent Protocol
• N-8-N
• Guard Rails, AI Ethics and Regulations
• Prompt Engineering: “Expertise in prompt engineering, LLM operations, and Gen AI deployment best practices.”
• Distillation, RAG, Fine-tuning
• Multi-modal AI, LLMs
• Vector Databases, Embeddings
• Gen AI deployment tools (Docker, Kubernetes)
• AI Solution Assessment and Optimization
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