Enterprise Architect

AI Architect
Lea el resumen de esta oportunidad para comprender qué habilidades, incluidas las habilidades interpersonales relevantes y el dominio de paquetes de software, se requieren.

Job Description:

Essential Skills/Experience

- Enterprise Architecture experience: proven EA leadership translating concepts into

production-ready solutions.

- Hands-on AI/ML engineering: building, fine-tuning, and deploying ML/DL models (LLMs, RAG,

MLOps) in production.

- AI platforms: hands-on with AWS (Bedrock, SageMaker, Amazon Q), Azure (Azure AI, ML,

OpenAI), and Databricks.

- Engineering and analytics: strong Python, TensorFlow/PyTorch, containers, Kubernetes, and

CI/CD for hybrid cloud.

- Data modelling and governance: conceptual/logical modelling and governance standards in

regulated environments.

- Architecture judgement: select fit-for-purpose AI architecture per use case, with full-lifecycle

understanding.

- Leadership: lead a small team of AI architects and help shape enterprise AI strategy and

direction.

- Degree in data science, AI engineering, or a related field (or equivalent experience).

Desirable Skills/Experience

- Postgraduate degree in MIS, AI, data science, or a related field.

- Recognised thought leader in applying AI within the enterprise and across the industry. xkdbapo

- Extensive senior AI, data science, data engineering, and AI architecture experience delivering

large-scale blueprints.

- Hands-on building AI models, including LLMs and LVMs, across diverse data types