Applied AI Engineer Digital Natives

Skills

About the Role

You will work directly with customers to identify opportunities, design technical architectures, build and evaluate AI systems, resolve implementation issues, and move prototypes into reliable production deployments. You will create reusable guidance and turn deployment experience into product feedback.

Requirements

• Experience designing, building, and delivering enterprise AI or machine-learning systems from prototype to production
• French and English fluency
• Experience with code, architecture, evaluation, debugging, or engineering of production systems
• Python proficiency
• Knowledge of AI application stacks
• Knowledge of systematic AI evaluation using data, graders, production signals, and human judgment
• Knowledge of enterprise integrations, reliability, observability, security, privacy, data governance, performance, and cost

Responsibilities

• Identify high-value customer opportunities and translate them into architectures, implementation plans, evaluation strategies, and success criteria
• Design, build, and deploy AI systems for customer problems
• Build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators
• Make technical decisions across models, agents, retrieval, tools, data, reliability, observability, safety, security, and governance
• Diagnose implementation challenges, reproduce failures, test hypotheses, and resolve blockers
• Help customers move prototypes into reliable production systems and scaled adoption
• Create reusable architectures, tooling, playbooks, and technical guidance

Benefits

• Relocation assistance