AI Enablement Engineer
Core
Develop and scale AI architecture and solutions to embed AI capabilities across the organization, translating advancements into production-ready agents and frameworks.
Role type
AI Enablement Engineer (IC)
Builds
Reusable AI assets (skill libraries, agent templates, integration patterns), production-ready AI solutions, and governance guidelines.
Domain
Retail SaaS / Cloud AI / Enterprise Architecture
Deliverable
production ML models | product features | infrastructure
Required skills
Software engineering, LLM API integration, Google Cloud AI (Vertex AI, Gemini, BigQuery), SaaS product experience, Enterprise Architecture, Cloud-native development, Microservices, Kafka, Kubernetes, GitHub Actions, Jira, Confluence
Preferred skills
Retail industry experience, Enterprise Architecture background, Technical writing, Training delivery
Technologies
Vertex AI, Gemini, BigQuery, Cloud Run, Pub/Sub, Kafka (Confluent Cloud), Kubernetes, GitHub Actions, Jira, Confluence
Responsibilities
Define and scale AI solution architecture; Map processes to identify AI productivity opportunities; Build and maintain reusable AI assets; Monitor AI landscape for new capabilities; Partner with Product Platform and Engineering teams; Ensure AI solutions meet production standards on GCP.
Seniority
Mid-Senior, hands-on IC
