AI Architect

Mandatory Skills :

Generative AI, Agentic AI, RAG, GraphRAG, Vector Databases, Semantic Search, and Knowledge Management.

Location : Bangalore

Experience : 6-8 years

Key Responsibilities :

• Define enterprise AI, GenAI, and Agentic AI architecture and roadmap.

• Design end-to-end AI solutions leveraging enterprise data, knowledge bases, and document repositories.

• Architect and implement RAG, semantic search, and knowledge retrieval solutions using vector databases.

• Build AI systems using LLMs, embeddings, prompt engineering, AI agents, and orchestration frameworks.

• Establish AI platform, MLOps, and LLMOps standards for model deployment, monitoring, and governance.

• Ensure AI security, responsible AI, data privacy, and regulatory compliance.

• Collaborate with business, data, engineering, and cloud teams to deliver AI-driven solutions.

Required Skills :

• Strong expertise in Generative AI, Agentic AI, RAG, GraphRAG, Vector Databases, Semantic Search, and Knowledge Management.

• Experience with AI frameworks such as LangChain, LangGraph, and Semantic Kernel.

• Hands-on experience with vector databases such as Pinecone, Weaviate, or Milvus.

• Experience with cloud AI platforms on Microsoft Azure.

• Strong knowledge of AI governance, data architecture, and enterprise integration patterns.

• Proficiency in Python, APIs, and scalable distributed systems.

Qualifications :

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.

• 8+ years of experience in solution architecture, data engineering, AI/ML, or cloud architecture, including hands-on experience with GenAI and enterprise AI implementations.