AI Engineer - On Site

- Build and iterate internal tools to reduce manual effort - Create reusable delivery frameworks templates and documentation - Design build and maintain AI powered automation workflows - Develop AI classification pipelines and automated review processes - Develop training materials and playbooks for AI adoption - Implement provider abstracted LLM architectures with fallback logic - Lead AI automation client delivery execution - Present delivery results to client stakeholders - Support client discovery for needs assessment and solution design - Support responsible AI governance and usage guidelines - Track and report AI adoption metrics - Translate business requirements into production systems