AI Architect Generative AI / LLM / Cloud (Enterprise Scale)
We are seeking a highly experienced AI Architect to lead the design, standardisation, and governance of enterprise-scale AI/ML and Generative AI platforms spanning data, application, and cloud infrastructure layers.
This is a senior architecture position centred on building and overseeing production-grade LLM, RAG, and agentic AI ecosystems within complex enterprise environments.
Key Responsibilities Define and take ownership of AI reference architectures covering data ingestion, model orchestration, inference layers, and application integration
Architect and implement LLM-based solutions (GPT, BERT, Transformer models), including RAG pipelines and vector database integrations
Establish and lead LLMOps / MLOps strategy, including model lifecycle management, CI/CD for ML, model registries, and monitoring frameworks
Design and deliver scalable, cloud-native AI platforms across Azure, AWS, or GCP
Ensure Responsible AI standards, governance, security, compliance, and adherence to non-functional requirements (NFRs)
Partner with senior stakeholders to define AI strategy and shape roadmaps from discovery through to enterprise rollout
Required Experience Demonstrated experience as an AI Architect, Machine Learning Architect, or Generative AI Architect
Strong hands-on expertise with LLMs, RAG architectures, LangChain, LangGraph, and prompt engineering
Deep cloud knowledge including Azure OpenAI, AWS Bedrock/SageMaker, or GCP Vertex AI
Experience with Kubernetes, Docker, microservices architectures, and API integrations
Proficiency in Python, MLOps, LLMOps, CI/CD pipelines, and model monitoring practices
Proven track record of delivering large-scale enterprise AI platforms
Desirable Skills Experience working with vector databases such as Pinecone or FAISS
Knowledge of AI governance frameworks, compliance standards, and security architecture
Relevant certifications in Azure AI, AWS ML, or Kubernetes
This opportunity is well suited to a technically hands-on architect with real-world experience delivering production AI platforms, rather than purely research-focused or academic profiles.
Apply now to learn more about the opportunity.
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