AI Solutions Architect

Job Description – AI Architect (Generative & Agentic AI)

Position : AI Architect

Experience : 10–12 Years

Employment Type : Full-time

About the Role

We are seeking an experienced AI Architect with deep expertise in Generative AI (GenAI) , Agentic AI frameworks , and advanced Python development . The ideal candidate will design, architect, and implement scalable AI solutions leveraging LLMs, multi-agent systems, vector databases, and cloud-native AI platforms . You will collaborate with cross-functional teams to drive innovation, design robust AI architectures, and deliver enterprise-grade AI products.

Key Responsibilities

• Architecture & Design
• Define end-to-end architecture for GenAI & Agentic AI solutions .
• Design scalable and secure AI pipelines including data ingestion, model training, fine-tuning, deployment, and monitoring .
• Architect multi-agent AI systems leveraging frameworks like LangChain, AutoGen, LlamaIndex, or similar .
• Hands-on Development
• Build and optimize AI applications in Python using frameworks such as PyTorch, TensorFlow, Hugging Face Transformers .
• Implement and integrate LLMs, embeddings, RAG (Retrieval-Augmented Generation), vector databases (Pinecone, FAISS, Weaviate, Milvus) .
• Develop autonomous AI agents for workflow automation, reasoning, and decision-making.
• Innovation & Strategy
• Evaluate and recommend emerging GenAI & Agentic AI frameworks, tools, and platforms .
• Define best practices for prompt engineering, model fine-tuning, safety, compliance, and governance .
• Collaborate with stakeholders to align AI solutions with business goals and enterprise architecture .
• Leadership & Mentoring
• Lead technical discussions and provide architectural guidance to engineering teams.
• Mentor data scientists, ML engineers, and software developers in AI best practices.
• Collaborate with product managers and business leaders on solution roadmaps.

Required Skills & Experience

Preferred Skills

Education