AI Experimentation Engineer
Core
Design and run time-boxed experiments and technical spikes to validate AI technologies under realistic conditions, providing evidence for architecture and delivery teams before technology commitment.
Role type
AI Experimentation Engineer (Technical Validation)
Builds
Feasibility experiments, comparative evaluations, demonstrators, and technical spikes
Domain
Energy sector + Applied AI/ML
Deliverable
production ML models
Required skills
Python programming, AI/ML experimentation, prototyping, LLM/ML model evaluation, cloud AI platforms (Azure/GCP/AWS), technical documentation
Preferred skills
JavaScript/TypeScript, AI coding assistants, experience with vendor options evaluation
Technologies
Python, Azure, GCP, AWS, LLMs, ML models
Responsibilities
Design and run time-boxed experiments against learning questions; Build prototypes, test harnesses, and reference implementations; Conduct fair comparative evaluations of AI models and services; Create early demonstrators for stakeholders; Document method, results, and constraints; Collaborate with AI Research Engineers and provide evidence to architecture and delivery teams
