AI Agent Developer

ComTec Information Systems (IT); Houston (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

ComTec Information Systems (IT) seeks an AI Agent Developer to build and deploy AI agents for cybersecurity use cases in a Hybrid Houston environment. You will automate security investigations, alert analysis, threat hunting, and incident response, integrating with CrowdStrike, Splunk, and Cribl while leveraging AWS, Bedrock, and Python-based automation.

Qualified candidates will design agentic AI workflows, employ prompt engineering and RAG, and ensure secure agent operations with proper

Qualifications

• Hands-on experience building AI/LLM-powered agents and automation solutions.
• Experience integrating AI agents with security data sources via APIs/SDKs.
• Focus on automating security investigations, alert analysis, threat hunting, and incident response.

Responsibilities

• Design, develop, and deploy AI agents using Amazon Bedrock and AWS.
• Build AI-driven workflows for security alert investigation, threat hunting, and incident response.
• Integrate AI agents with CrowdStrike, 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 CrowdStrike 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.

Skills

AI Agents

LLMs

Prompt Engineering

RAG

Tool/Function Calling

Python

Tools

Amazon Bedrock

AWS

CrowdStrike Falcon

Splunk

Cribl

Git

CI/CD

JSON

REST APIs

SDKs

Job description

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 CrowdStrike, 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

Key Responsibilities

• 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 CrowdStrike, 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 CrowdStrike 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.

Required Skills

• AI Agents / Agentic AI, Amazon Bedrock, AWS, LLMs, RAG, Prompt Engineering, and Tool/Function Calling
• Python, REST APIs, SDKs, JSON, Git, and CI/CD
• CrowdStrike 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, CloudWatch, EventBridge, and Step Functions
• Understanding of AI/LLM Security, Prompt Injection, Data Protection, and Access Controls