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.
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