AI Security Integration Engineer

Job Description

AI Security Integration Engineer:
On behalf of our Technology client, Procom is searching for an AI Security Integration Engineer for a 6 month contract role. This position is a primarily remote position with occasional in-office in Toronto. 

AI Security Integration Engineer - Job Description:
The AI Security Integration Engineer will play a critical role in building an AI security platform that integrates security telemetry from various AI ecosystem components into Microsoft Sentinel. This project involves designing alerting and correlation rules to make data actionable and ensuring incident response teams have the necessary context to respond effectively.

AI Security Integration Engineer - Responsibilities:
• Design and implement data pipelines to ingest security telemetry from AI platform components into Microsoft Sentinel
• Connect telemetry sources including Azure AI Foundry, Google Vertex AI, Salesforce Einstein Trust Layer, Anthropic Compliance APIs, and Confluent Kafka
• Develop and tune Sentinel alerting rules, correlation logic, and analytics workbooks tailored to AI-specific threat scenarios
• Integrate vulnerability management data from tools such as Tenable into the Sentinel observability envelope
• Operate within an agile delivery model, shipping demonstrable integration progress each sprint

AI Security Integration Engineer - Mandatory Skills:
• 5+ years of experience in security engineering with a focus on SIEM integration, telemetry pipelines, or security operations tooling
• Hands-on proficiency with Microsoft Sentinel: data connectors, KQL queries, analytics rules, and workbooks
• Experience building API-based integrations connecting security tools to SIEM or observability platforms
• Familiarity with event streaming architectures (Kafka or equivalent) in a security telemetry context

AI Security Integration Engineer – Nice-to-Have Skills:
• Experience integrating AI platform telemetry — LLM usage logs, agent audit trails, model routing events
• Knowledge of threat intelligence frameworks and how to operationalize threat feeds in a SIEM
• Background in vulnerability management tooling and integration (Tenable, Qualys, Defender for Cloud)
• Exposure to AI-specific attack vectors: prompt injection, model supply chain compromise, data exfiltration via agents

AI Security Integration Engineer – Assignment Length:
This is a 6 month contract position.

AI Security Integration Engineer - Start Date:
ASAP

AI Security Integration Engineer - Assignment Location:
Toronto, Ontario, Canada. 

This employer uses both human and technology-assisted tools to support candidate screening and assessment. Final hiring decisions are made by people.