More jobs:
AI Agent Developer
Job in
Houston, Harris County, Texas, 77246, USA
Listed on 2026-09-12
Listing for:
ComTec Information Systems (IT)
Full Time
position Listed on 2026-09-12
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Cybersecurity
Job Description & How to Apply Below
We are looking for an AI Agent Developer with hands‑on experience building AI/LLM‑powered agents and automation solutions for cybersecurity use cases. The candidate will develop AI agents using AWS and Amazon Bedrock and integrate them with security data sources such as Crowd Strike, Splunk, and Cribl. The role will focus on automating security investigations, alert analysis, threat hunting, incident response, and security operations workflows.
Title:
AI Agent Developer
Location:
Houston, TX/Hybrid
- Design, develop, and deploy AI agents / Agentic AI solutions using Amazon Bedrock and AWS.
- Build AI-driven workflows for security alert investigation, threat hunting, and incident response.
- Integrate AI agents with Crowd Strike, Splunk, and Cribl using APIs and SDKs.
- Develop Python-based automation for security data collection, analysis, correlation, and response.
- Use LLMs, prompt engineering, RAG, and tool/function calling to build intelligent security agents.
- Develop agents that can query Crowd Strike Falcon, Splunk, and Cribl and correlate security information.
- Automate repetitive SOC activities such as alert enrichment, investigation, incident summarization, and reporting.
- Develop secure agent workflows with appropriate authentication, authorization, permissions, and human approval controls.
- Implement AI security controls against prompt injection, data leakage, excessive permissions, and unauthorized tool access.
- Integrate agents with existing security and cloud environments through REST APIs.
- Test, troubleshoot, monitor, and optimize AI agents for accuracy, performance, and reliability.
- Work with SOC, threat hunting, incident response, and security engineering teams to identify and automate security use cases.
- Create documentation, workflows, and runbooks for AI-based security automation.
- AI Agents / Agentic AI, Amazon Bedrock, AWS, LLMs, RAG, Prompt Engineering, and Tool/Function Calling
- Python, REST APIs, SDKs, JSON, Git, and CI/CD
- Crowd Strike Falcon, Splunk/SPL, and Cribl
- Security Automation, Threat Detection, Threat Hunting, and Incident Response
- SIEM, EDR/XDR, SOAR, and cybersecurity operations
- AWS services:
Lambda, API Gateway, IAM, S3, Cloud Watch, Event Bridge, and Step Functions - Understanding of AI/LLM Security, Prompt Injection, Data Protection, and Access Controls
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