Description

Required Expertise:
✅ Enterprise AI & Generative AI Architecture
✅ Large Language Models (LLMs)
✅ OpenAI, Azure OpenAI, Amazon Bedrock, Anthropic, Gemini
✅ LangChain, LlamaIndex, Semantic Kernel
✅ RAG (Retrieval-Augmented Generation) Architectures
✅ Vector Databases (Pinecone, Weaviate, FAISS, ChromaDB)
✅ AI/ML Solution Design & Implementation
✅ AWS, Azure, or GCP Cloud Platforms
✅ MLOps, AI Governance & Responsible AI
✅ API, Microservices & Enterprise Integration Patterns
✅ Docker, Kubernetes & Cloud-Native Architectures
🔹 Responsibilities:
✔ Define AI strategy and enterprise architecture roadmap
✔ Design scalable GenAI and intelligent automation solutions
✔ Lead AI platform architecture, governance, and security initiatives
✔ Collaborate with business and technology stakeholders
✔ Drive innovation using emerging AI technologies and frameworks
✔ Mentor engineering teams and provide architectural leadership

Key Skills

Education

Bachelor's degree