About the job
Join our dynamic team at Maki as an AI Deployment Architect, where you will play a crucial role in configuring, deploying, and enhancing our AI agents for enterprise clients. This position blends product development, engineering, and customer service, allowing you to convert business needs into effective configurations. You will ensure that each deployment meets client expectations and adapt quickly to maintain optimal performance and system stability.
As a key technical partner, you will assist customers with configuration choices, address complex issues, and influence the design and execution of AI-driven screening processes. Furthermore, you will serve as a vital feedback link between our field operations and product teams, highlighting trends that warrant platform integration and validating new functionalities with real-world users.
This role is highly technical and hands-on. As we expand our deployments across various industries and regions, you will help establish the benchmarks, tools, and best practices necessary for scaling our agents effectively.
Key Responsibilities:
Design and modify screening workflows based on client requirements.
Configure state prompts, tone settings, voice selections, transitions, and conditional logic.
Establish and manage custom vocabularies for ASR as needed.
Conduct and oversee demonstrations; support pilot projects from inception to completion.
Troubleshooting and Improvement:
Examine conversation logs to pinpoint errors or discrepancies.
Perform isolated state tests for focused debugging.
Rapidly iterate on prompts and configurations to enhance performance.
Utilize SQL for analyzing behavioral patterns, diagnosing systemic problems, and confirming enhancements.
Client Collaboration:
Guide clients on screening design, personas, and best practices for AI-enabled interviews.
Clearly articulate technical concepts, limitations, and trade-offs.
Manage expectations during pilot phases; create structured feedback systems for ongoing improvement.
Act as a reliable advisor throughout deployment and iteration processes.
Product Collaboration:
Highlight recurring patterns and feature requests to the product team.
