Design and implement end-to-end AI architecture including machine learning pipelines, LLM integrations, and agentic AI systems
Lead the evaluation, selection, and deployment of AI platforms, models, and tools
Build and integrate AI solutions into existing infrastructure and business workflows
Develop frameworks for AI governance, performance monitoring, and continuous improvement
Collaborate with operations, product, and leadership teams to identify AI opportunities and prioritise delivery
Research emerging AI technologies and provide strategic recommendations
Ensure all AI systems comply with data security, privacy, and regulatory standards
Document architecture decisions, system designs, and technical specifications

5+ years of experience in AI/ML architecture, solutions architecture, or a related senior technical role
Proven experience designing and deploying production-grade AI systems
Strong proficiency in Python, and familiarity with major AI/ML frameworks (TensorFlow, PyTorch, LangChain, etc.)
Hands-on experience with LLMs, RAG systems, and agentic AI frameworks
Cloud architecture experience: AWS, Azure, or GCP
Experience with API integration, microservices, and scalable system design
Strong commercial awareness — you understand how AI translates to business value
Excellent communication skills — ability to present technical solutions to non-technical stakeholders.

Optimal

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