MakiPeople · 4 days ago
AI deployment architect - New York
New York, NY
Full-time
Onsite
Mid, Senior Level
$140K/yr - $160K/yrMakiPeople is seeking AI deployment architects to configure, deploy, and evolve their agents for enterprise customers. This role involves translating business requirements into configurations, ensuring high performance and system stability, and acting as a technical partner to customers throughout the deployment process.
Information ServicesInformation TechnologyRecruitingSoftware
Responsibilities
Build and adapt screening flows based on customer jobs and requirements
Configure state prompts, tone parameters, voice selection, transitions, and conditional logic
Set up and maintain custom vocabularies for ASR when relevant
Prepare and run demos; support pilot implementations from start to finish
Analyze conversation transcripts and identify sources of errors or drift
Run isolated state tests for targeted debugging
Iterate rapidly on prompts and configurations to improve performance
Use SQL to investigate behavioral patterns, identify systemic issues, and validate improvements
Advise customers on screening design, personas, and best practices for AI-driven interviews
Communicate technical concepts, limitations, and trade-offs clearly
Manage expectations during pilots; build structured feedback loops that drive continuous improvement
Act as a trusted guide throughout deployment and iteration cycles
Surface recurring field issues that should become productized solutions
Contribute insights that shape new configuration surfaces, evaluation tools, and system-level capabilities
Partner with product and engineering teams to test new features with selected customers and validate readiness for scale
Qualification
Required
Build and adapt screening flows based on customer jobs and requirements
Configure state prompts, tone parameters, voice selection, transitions, and conditional logic
Set up and maintain custom vocabularies for ASR when relevant
Prepare and run demos; support pilot implementations from start to finish
Analyze conversation transcripts and identify sources of errors or drift
Run isolated state tests for targeted debugging
Iterate rapidly on prompts and configurations to improve performance
Use SQL to investigate behavioral patterns, identify systemic issues, and validate improvements
Advise customers on screening design, personas, and best practices for AI-driven interviews
Communicate technical concepts, limitations, and trade-offs clearly
Manage expectations during pilots; build structured feedback loops that drive continuous improvement
Act as a trusted guide throughout deployment and iteration cycles
Surface recurring field issues that should become productized solutions
Contribute insights that shape new configuration surfaces, evaluation tools, and system-level capabilities
Partner with product and engineering teams to test new features with selected customers and validate readiness for scale
Hands-on work with conversational AI, LLM prompting, applied ML models, or workflow-based configuration
Ability to debug state logic, model outputs, and configuration inconsistencies
SQL proficiency for analytics and performance investigation
Comfort with light scripting and structured configuration formats
Strong ability to reason about system constraints and edge cases
Ability to distinguish between local configuration work and product-level feature needs
Structured approach to experimentation and iteration
Clear and concise communication with both technical and non-technical stakeholders
Ability to present, educate, and manage expectations during pilots and demos
Confidence in advising customers and steering conversations
Preferred
Graduated from top engineering school or business/engineering dual-degree
Prior client-facing technical experience, ideally supporting enterprise implementations
Company
MakiPeople
Our vision is to give human resources more-than-human powers.
Founded in 2021
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$39.14MKey Investors
Blossom CapitalFounders Future
2025-01-15Series A· $26.77M
2021-11-23Seed· $12.37M
Leadership Team
Maxime Legardez
CEO & Co-founder
Benjamin Chino
Cofounder & CPO
Recent News
2025-07-10
Company data provided by crunchbase