AI Architect

About the role

An AI Architect is responsible for shaping and guiding the architecture of artificial intelligence and machine learning solutions, making sure they meet business objectives and technical standards. The position connects data engineering, model development, and production deployment.

Requirements

• Demonstrated experience in designing and deploying machine learning or AI systems in production

• Solid understanding of machine learning concepts, model lifecycle, and MLOps practices

• Hands-on experience with cloud platforms and scalable data infrastructure

• Fluency in programming languages commonly used in AI, such as Python

• Knowledge of data architecture, APIs, and system integration

• Excellent communication skills for explaining technical concepts to a range of stakeholders

Responsibilities

1. 1

   Create end-to-end architecture for AI and machine learning systems, covering everything from data ingestion through to model serving

2. 2

   Set technical standards and best practices covering model development, deployment, and monitoring

3. 3

   Work together with data engineers, data scientists, and software teams to embed AI components into production systems

4. 4

   Assess and choose suitable frameworks, platforms, and infrastructure for AI workloads

5. 5

   Oversee and direct the implementation of scalable, reliable, and secure AI pipelines

6. 6

   Evaluate emerging AI technologies and suggest adoption where it is relevant