Vertiv is seeking an AI Integration Engineer to design and operationalize secure, governed telemetry and control flows from edge gateways to external AI/LLM services, ensuring edge-originating data is standardized and modular, and integrates seamlessly with both public-facing and internal platform APIs.
Requirements
- Fluent in REST and MQTT protocols, with secure implementation using TLS, mTLS, and OAuth2.
- Practical experience integrating third-party LLMs or AI APIs (e.g., OpenAI, Google Gemini, Azure OpenAI).
- Strong coding skills in Python, Java, or Go, especially for embedded-edge or gateway environments.
- 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.
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.
Other
- Bachelor’s or Master’s degree in Computer Engineering, Software Engineering, or a closely related field.
- Minimum 5 years integrating IoT edge telemetry with cloud platforms or AI services.
- 25% travel required.
- Work authorization: Vertiv will only employ those who are legally authorized to work in the United States.
- Equal Opportunity Employer: Vertiv is an Equal Opportunity/Affirmative Action employer.
