Third-Party AI Integration Engineer (Edge-to-Cl...
@ Vertiv

Huntsville, Alabama, United States
On Site
Posted 18 days ago

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Job Summary

The Third-Party AI Integration Engineer is responsible for designing and operationalizing secure telemetry and control flows from edge gateways to external AI/LLM services. The role emphasizes modular data integration, standardization of edge telemetry and bidirectional API development to influence device behavior in real time.

Key Responsibilities

  • Design Modular Edge-to-AI Pipelines: Build real-time telemetry pipelines aligning with API governance standards.
  • Normalize and Preprocess at the Edge: Transform raw telemetry into standardized formats using schema-driven contracts.
  • Develop Bidirectional APIs for AI Interaction: Create RESTful or MQTT APIs for consuming AI responses to trigger control actions.
  • Ensure Governance Alignment and Flow Integration: Collaborate with firmware, backend, and cloud teams to meet security and data standards.
  • Documentation and Developer Portal Readiness: Author API specs and integration documentation for developer use.

Required Qualifications

Bachelor’s or Master’s degree in Computer/Software Engineering or a related field. Minimum 5 years experience integrating IoT edge telemetry with cloud platforms or AI services. Demonstrated skills in schema-driven API flows and modular data exchange patterns.

Technical Competencies

  • Proficiency with REST and MQTT protocols, TLS, mTLS, and OAuth2.
  • Experience integrating third-party LLMs or AI APIs (e.g., OpenAI, Google Gemini, Azure OpenAI).
  • Strong coding skills in Python, Java, or Go for embedded-edge or gateway environments.

Preferred Skills

Familiarity with API gateways (e.g., Kong), JSON Schema validation, and schema-first API design methodologies. Knowledge of industrial telemetry protocols (OPC-UA, Modbus) and edge runtimes (Azure IoT Edge, EdgeX) along with OpenAPI/Swagger-based documentation.

Work Environment & Collaboration

This role is part of a cross-functional team operating at the convergence of firmware, AI/ML, and cloud architecture. Collaboration spans device, gateway, and platform layers under the API Matters charter.

About Vertiv

Vertiv is an $8.0 billion global critical infrastructure and data center technology company headquartered in Columbus, Ohio. With around 20,000 employees operating in over 130 countries, Vertiv delivers power, cooling, and IT infrastructure solutions from the cloud to the network edge.

Work Authorization & Equal Opportunity

Candidates must be legally authorized to work in the United States. Vertiv is an Equal Opportunity/Affirmative Action employer committed to diversity and inclusion. Contact help.join@vertiv.com if you require assistance with the application process.

Key skills/competency

AI, Integration, API, IoT, Telemetry, Cloud, Edge, Security, Python, Governance

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How to Get Hired at Vertiv

🎯 Tips for Getting Hired

  • Customize your resume: Tailor your experience to edge AI integration.
  • Highlight technical skills: Emphasize REST, MQTT, and security expertise.
  • Research Vertiv: Understand the company culture and strategic priorities.
  • Prepare for interviews: Review API governance and IoT telemetry topics.

📝 Interview Preparation Advice

Technical Preparation

Review REST and MQTT protocol implementations.
Practice coding in Python, Java, and Go.
Study TLS, mTLS, and OAuth2 security methods.
Understand schema-driven API and data models.

Behavioral Questions

Describe a challenging project collaboration experience.
Explain your approach to problem solving under pressure.
Share an instance of improving team communication.
Discuss adapting to rapid change in project scope.

Frequently Asked Questions