About the job
Join our dynamic team at Maki as an AI Deployment Architect, where you'll play a pivotal role in configuring, deploying, and enhancing our AI agents tailored for enterprise clients. This position uniquely blends product knowledge, engineering expertise, and customer delivery, allowing you to transform business requirements into effective solutions. Your focus will be on ensuring that each deployment meets the specific needs of our clients while continuously optimizing performance and system stability.
As a key technical partner, you will guide customers through crucial configuration decisions, troubleshoot complex issues, and help them leverage AI-driven screening in their operations. Additionally, you will serve as a vital feedback channel between our field teams and product development, identifying trends for platform improvements and validating new features in real-world scenarios.
This role demands a high level of technical acumen and hands-on involvement. As we scale deployments across various industries and regions, you will establish standards, tools, and best practices that ensure the scalability of our AI agents.
Key Responsibilities:
Configuration and Deployment:
- Develop and customize screening flows based on client needs and job specifics.
- Set up state prompts, tone parameters, voice selections, transitions, and conditional logic.
- Establish and maintain custom vocabularies for ASR where applicable.
- Conduct demos and oversee pilot implementations from inception to completion.
Troubleshooting and Iteration:
- Examine conversation transcripts to pinpoint errors or inconsistencies.
- Execute targeted debugging through isolated state tests.
- Rapidly iterate on prompts and configurations to enhance performance.
- Utilize SQL to analyze behavior patterns, identify systemic issues, and validate enhancements.
Client Partnership:
- Guide customers on screening design, user personas, and AI interview best practices.
- Clearly communicate technical concepts, limitations, and potential trade-offs.
- Manage client expectations during pilot phases and create structured feedback mechanisms for ongoing improvement.
- Act as a trusted advisor throughout the deployment and refinement processes.
Product Collaboration:
- Identify recurring issues and improvement opportunities to enhance our platform.
- Collaborate closely with product teams to validate new capabilities with actual customers.

