Applied AI Engineer - Digital Marketing (all genders)

This role partners directly with enterprise customers to design, build, and deploy AI systems into production. The engineer will write code, build evaluation systems, and resolve complex integrations while making technical decisions across models, agents, retrieval, and governance. Success is measured by production systems and sustained customer adoption.

Partners directly with enterprise customers to design, build, and deploy AI systems that deliver measurable business outcomes. Works hands-on in code to build prototypes, evaluation harnesses, and production accelerators, making technical decisions across models, agents, retrieval, and reliability. Requires a track record of delivering AI/ML systems in complex enterprise environments.

This role builds production systems for AI-powered go-to-market workflows, owning the agent improvement loop from instrumentation and evaluation to behavior improvements and controlled experiments. The engineer will partner with Engineering, Product, Data Science, Sales, and B2B Marketing to make agents more effective, reliable, and responsive to customer needs.

Develops and deploys machine learning models into production, focusing on applied AI. Requires expertise in AI frameworks, model optimization, and software engineering.

This solutions engineering role designs and implements AI solutions for digital marketing clients. It requires technical AI expertise and the ability to translate business requirements into technical solutions.

This role defines the product vision, roadmap, and go-to-market strategy for AI-driven marketing solutions. It requires bridging AI capabilities with marketing needs to deliver impactful products.

This client-facing role manages key accounts, ensuring client satisfaction, and driving retention and growth. Requires strong relationship management and understanding of digital services.