Senior AI Controls Engineer - Remote Data Center Solutions

Phaidra; United States; Remote; USD 160,000 - 210,000; Full time

Benefits offered by this job

100% remote company

Equity eligible

Unlimited PTO with 20 days minimum

Job summary

Phaidra is seeking an AI Controls Solutions Engineer to operationalize and scale its industrial AI platform for data center customers. You will work remotely with teams across regions, translating customer needs into scalable control solutions and defining product requirements for automation tooling.

The role emphasizes deep domain knowledge in HVAC, PLCs, and software integration, with substantial responsibility for deployment, support, and cross-functional collaboration.

Qualifications

• 10-15 years of work experience as a controls engineer, programmer, or equivalent.

Responsibilities

• Use Phaidra’s products to model facilities for ingestion by our product lineup and commission/tune products across projects.
• Define product requirements with the product team, translating customer needs into actionable documentation for software teams.
• Provide ongoing support for deployed products, lead deployment of multiple solutions, resolve onboarding and support tickets, and manage risks.
• Act as an internal and customer-facing SME, delivering platinum support and supporting sales/marketing efforts.

Skills

HVAC control expertise

Data center cooling

PLC programming

Python scripting

Customer-facing SME

Documentation ownership

Cross-team collaboration

AI/ML in controls

Strong communication

Cloud services architecture

Tools

BACnet

Modbus

Mort project workflow

Git

Kula hiring platform

Job description

Phaidra is seeking an AI Controls Solutions Engineer to operationalize and scale its industrial AI platform for data center customers. You will work remotely with teams across regions, translating customer needs into scalable control solutions and defining product requirements for automation tooling.

The role emphasizes deep domain knowledge in HVAC, PLCs, and software integration, with substantial responsibility for deployment, support, and cross-functional collaboration.