Applied AI Engineer

Skills

About the Role

You will partner with enterprise customers to identify valuable opportunities and turn them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. You will build prototypes, evaluation harnesses, integrations, and production accelerators; diagnose complex issues; and guide systems from prototype through production adoption and scale.

Requirements

• Experience designing, building, and delivering enterprise AI or machine-learning systems from prototype to production
• Substantial hands-on contributions in code, architecture, evaluation, debugging, or production engineering
• Proficiency in Python
• Ability to evaluate AI systems using representative data, graders, production signals, and human judgment
• Knowledge of enterprise integrations, reliability, observability, security, privacy, data governance, performance, and cost
• Ability to communicate with engineers, technical leaders, security teams, product leaders, and executives

Responsibilities

• Partner with customers to identify high-value opportunities and create technical architectures, implementation plans, evaluation strategies, and success criteria
• Design, build, and deploy AI systems that deliver measurable business outcomes
• Build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators
• Make technical decisions involving models, agents, retrieval, tools, data, reliability, observability, latency, cost, 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