Generative AI Architect (GenAI / LLM Architect)

We are seeking an experienced Generative AI Architect to design and lead enterprise-scale AI solutions. The ideal candidate will define the AI vision, architecture, and governance frameworks, with deep expertise in Large Language Models (LLMs), vector databases, and cloud-based AI deployments. ️ Key Responsibilities Architecture & Strategy

• Define and design end-to-end AI solution architecture
• Establish enterprise AI vision, standards, and best practices
• Translate business problems into scalable AI architectures

GenAI & LLM Solutions

• Design and implement solutions using:

• Large Language Models (LLMs) (GPT, Llama, Claude, etc.)

• Frameworks like LangChain / LangGraph

• Build RAG (Retrieval-Augmented Generation) pipelines

Data & Vector Architecture

• Design and manage vector databases:

• Pinecone, FAISS, Weaviate, Milvus, Chroma

• Enable semantic search, embeddings, and knowledge retrieval systems

Cloud & Deployment

• Architect and deploy AI solutions on:

• AWS / Azure / GCP

• Design scalable, secure, and high-performance AI systems

Responsible AI & Governance

• Define and implement:

• Responsible AI frameworks

• AI governance and compliance standards

• Ensure fairness, explainability, and ethical AI usage

Leadership & Collaboration

• Lead cross-functional teams (engineering, data, product)
• Provide architectural guidance and mentorship
• Communicate technical solutions to stakeholders

Core AI Skills

• Strong expertise in:

• Generative AI / LLMs

• AI/ML frameworks

Technical Skills

• Python and ML libraries

• Experience with:

• LangChain / LangGraph

• OpenAI / Hugging Face

Data & Vector DB

• Hands-on experience with:

• Vector databases (Pinecone, FAISS, etc.)

• Knowledge of embeddings and semantic search

Cloud Platforms

• AWS / Azure / GCP
• Experience deploying AI solutions in production

Architecture

• Enterprise architecture
• Solution design and scalability

Governance

• Responsible AI
• AI ethics and compliance

Preferred Skills

• Experience in enterprise AI transformation programs
• Exposure to MLOps pipelines
• Strong stakeholder management

Experience Required

• 8-10+ years of experience in AI/ML
• Proven experience in AI architecture and solution design
• Master's degree in Computer Science or related field (preferred)

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