An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
Design, build, and deploy intelligent automation pipelines in n8n using Anthropic Claude models via AWS Bedrock API calls as the primary reasoning engine.
SecOps Automation:
Implement automated cybersecurity workflows for vulnerability triage, automated remediation ticketing, security incident summarization, and log analysis.
Agent Architecture:
Implement advanced AI agent patterns, including multi-step reasoning, tool/function calling, context management, prompt chaining, and Mythos/Ethos SecOps patterns.
Enterprise Integration:
Connect Claude AI reasoning layers with core IT operations tools (ServiceNow, GitHub, custom REST APIs) and security scanners (Tenable, CNAPP tools).
Upskilling & SME Guidance:
Mentor and train internal engineering teams on prompt optimization, agent design capabilities, token efficiency, and responsible enterprise AI governance.
Required Qualifications & Skills:
Hands-on experience developing with Anthropic Claude API and AWS Bedrock model invocation. Proven track record building end-to-end automation workflows in n8n (or similar orchestration engines). Deep understanding of AI Agent patterns : function/tool calling, memory management, prompt chaining, and multi-step execution. Direct exposure to cybersecurity use cases : vulnerability management (Tenable), incident summarization, and ITSM ticketing (ServiceNow). Strong API development skills (REST APIs, Webhooks, JSON parsing, Python/Node.js scripting). Preferred /
Bonus Qualifications:
Experience with Mythos / Ethos agentic patterns or dedicated AI SecOps automation frameworks. Hands-on experience with CNAPP security platforms ( Upwind, CrowdStrike, Tenable ). Active Anthropic / AWS AI certifications.
