Vertiv · 5 hours ago
Third-Party AI Integration Engineer (Edge-to-Cloud IoT/AI Specialist)
Vertiv is a global critical infrastructure and data center technology company, and they are seeking an AI Integration Engineer to design and operationalize secure telemetry and control flows from edge gateways to external AI services. This role involves building real-time telemetry pipelines, developing APIs, and ensuring data governance alignment across engineering teams.
Data CenterInformation TechnologyIT InfrastructureTelecommunications
Responsibilities
Design Modular Edge-to-AI Pipelines: Build real-time telemetry pipelines from edge gateways to AI inference endpoints, following schema-driven principles and aligning with internal API governance standards
Normalize and Preprocess at the Edge: Transform raw edge telemetry into standardized, structured formats compliant with OpenAPI or schema-driven contracts before forwarding to third-party LLMs
Develop Bidirectional APIs for AI Interaction: Build and expose RESTful or MQTT-based APIs for consuming AI responses and triggering feedback control actions within edge or gateway runtime environments
Ensure Governance Alignment and Flow Integration: Collaborate with firmware, backend, and AI/cloud teams to ensure data security (TLS/mTLS/OAuth2), validation, access control, and conformance with established governance models (as illustrated in the API Flow architecture)
Documentation and Developer Portal Readiness: Author API specs, data models, and integration documentation to be published in the developer portal, supporting the modular, product-specific API subset approach
Qualification
Required
Education: Bachelor's or Master's degree in Computer Engineering, Software Engineering, or a closely related field
Experience: Minimum 5 years integrating IoT edge telemetry with cloud platforms or AI services
Experience: Demonstrated implementation of schema-driven API flows and modular data exchange patterns
Technical Competencies: Fluent in REST and MQTT protocols, with secure implementation using TLS, mTLS, and OAuth2
Technical Competencies: Practical experience integrating third-party LLMs or AI APIs (e.g., OpenAI, Google Gemini, Azure OpenAI)
Technical Competencies: Strong coding skills in Python, Java, or Go, especially for embedded-edge or gateway environments
Preferred
Familiarity with API gateways (e.g., Kong), data model validation (JSON Schema), and schema-first API design
Knowledge of industrial telemetry protocols (e.g., OPC-UA, Modbus), and edge runtimes (e.g., Azure IoT Edge, EdgeX)
Experience with OpenAPI/Swagger-based documentation and API lifecycle governance tooling
Company
Vertiv
Vertiv designs, builds and services critical infrastructure that enables vital applications for data centers and industrial facilities.
Funding
Current Stage
Public CompanyTotal Funding
$1.24BKey Investors
Starboard ValuePlatinum Equity
2022-10-20Post Ipo Equity
2020-02-10Post Ipo Equity· $1.24B
2020-02-10IPO
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