AI Architect

AI Architect – Generative AI / LLM / Cloud (Enterprise Scale) We are hiring an experienced AI Architect to lead the design and governance of enterprise-grade AI/ML and Generative AI solutions across data, application and cloud infrastructure layers. This is a senior-level architecture role focused on delivering production-ready LLM, RAG and agentic AI platforms within complex enterprise environments. Key Responsibilities * Define and own AI reference architecture across data ingestion, model orchestration, inference services and application integration * Architect and deploy LLM solutions (GPT, BERT, Transformers) including RAG pipelines and vector databases * Lead LLMOps / MLOps strategy including model lifecycle, CI/CD for ML, model registry and monitoring * Design scalable cloud-native AI solutions in Azure, AWS or GCP * Ensure governance, Responsible AI, security, compliance and non-functional requirements (NFRs) * Engage senior stakeholders and shape AI roadmaps from discovery through delivery Required Experience * Proven experience as an AI Architect / Machine Learning Architect / GenAI Architect * Hands-on expertise with LLMs, RAG, LangChain, LangGraph, prompt engineering * Strong cloud experience: Azure OpenAI, AWS Bedrock/SageMaker or GCP Vertex AI * Experience with Kubernetes, Docker, microservices, API integration * Strong knowledge of Python, MLOps, LLMOps, CI/CD, model monitoring * Experience delivering enterprise AI solutions at scale Desirable * Experience with vector databases (Pinecone, FAISS) * AI governance, compliance and security architecture * Azure AI / AWS ML / Kubernetes certifications This role suits a technically hands-on architect who has delivered production AI platforms, not purely research or academic profiles. Apply now to discuss full details