Applied AI Engineer

Skills

About the Role

You will partner with enterprise customers to design, build, and deploy AI systems. You will create prototypes, evaluation harnesses, integrations, and production accelerators; resolve implementation challenges; guide technical decisions; and help customers scale reliable systems with sustained adoption.

Requirements

• Experience designing, building, and delivering enterprise AI or machine-learning systems from prototype to production
• Hands-on code, architecture, evaluation, debugging, or production engineering experience
• Python proficiency
• AI application-stack knowledge
• Knowledge of AI evaluation using representative data, graders, production signals, and human judgment
• Knowledge of enterprise integrations, reliability, observability, security, privacy, data governance, performance, and cost
• Ability to connect technical decisions to customer workflows, adoption, and business outcomes

Responsibilities

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

Benefits

• Relocation assistance for new employees