The AI Engineer will serve as the technical owner for AI agents, orchestration logic, and workflow automations designed to enhance seller productivity. This role involves architecting and deploying multi-step AI-driven capabilities that reduce manual work and improve decision quality within sales workflows. The engineer will build and maintain systems that surface insights and recommended actions while ensuring reliability within the enterprise sales ecosystem. Additionally, the position requires establishing technical standards, governance frameworks, and best practices for AI-powered sales motions. The role also entails collaborating with cross-functional teams to integrate AI tools with existing systems and managing the full lifecycle of AI models and tools.

The role requires proficiency in Python, API integrations, LLM orchestration frameworks, and cloud deployment, with a preference for Azure. Candidates must demonstrate experience in developing AI agents, GPT-style applications, or multi-step workflow automation systems. A strong understanding of data pipelines, embedding models, vector databases, prompt engineering, and model evaluation is necessary. Furthermore, the position requires experience working in secure environments with strict compliance and governance constraints, as well as the ability to lead cross-functional stakeholders.