Applied AI Engineer

The Applied AI Engineer partners with enterprise organizations to design, build, evaluate, deploy, and scale AI systems that produce measurable business outcomes. The role combines hands-on Python engineering, AI/ML system design, prototyping, evaluation, integrations, production deployment, debugging, reliability, observability, security, governance, and customer-facing technical leadership.

Required Skills Strong/proficient Python AI/ML engineering experience Designing and building AI systems Taking AI/ML systems from prototype to production Enterprise AI deployments AI system evaluation Evaluation using representative data, graders, production signals and human judgment Debugging and complex integration troubleshooting AI application stack Reliability and observability Security and privacy Data governance Performance and latency optimization Cost considerations Customer/technical leadership Architecture and implementation planning Communication with engineers, technical leaders, security/product teams and executives End-to-end ownership Preferred / Additional Skills JavaScript TypeScript Forward-deployed engineering Customer engineering Solutions architecture Technical consulting AI agents Retrieval/RAG Tools and integrations Production engineering Enterprise architecture