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.