Senior AI Automation Engineer

Role overview Find and solve operational problems by building AI-powered automations and internal tools across business functions such as operations, finance, marketing, and customer success. The work spans stakeholder discovery, rapid prototyping, production hardening, and coaching colleagues so useful solutions can be maintained and reused across teams.

Responsibilities - Work with non-technical stakeholders to understand their workflows and identify high-impact opportunities for automation. - Translate unclear business needs into practical technical approaches and ship early versions for feedback. - Connect language models, agents, retrieval patterns, prompts, APIs, scripts, and low-code tools to deliver working processes. - Improve successful prototypes with error handling, monitoring, documentation, and reliability practices suitable for production. - Build shared templates, components, and integration patterns that make effective solutions reusable across teams. - Coach colleagues through reviews, working sessions, and documentation, and explain technical tradeoffs in accessible terms.

Requirements - A track record of delivering automations, internal tools, or AI-enabled workflows with measurable business impact. - Practical knowledge of language models, agents, retrieval-augmented generation, prompt design, APIs, scripting, and automation platforms. - A business-focused approach that starts with users and workflows, with skill in clarifying ambiguous problems. - Ability to move quickly from idea to working first version, then judge when a solution needs broader reliability and reuse. - Strong written and verbal communication skills, including the ability to coach non-technical colleagues. - Comfort working with data, including extracting, cleaning, and using it to inform solutions.

Nice to have - Experience in internal tools, revenue operations, business operations, or applied AI. - Experience supporting or training non-technical builders.