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.