Cyber AI/ML Automation Engineer (Secret Clearance)

argocyber; Arlington (VA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Argo Cyber Systems is hiring an AI/ML Automation Engineer to architect and implement intelligent automation that enhances cyber operations, malware analysis, digital forensics, and mission decision-making. You will integrate LLMs, RAG solutions, and autonomous agents within cloud-native architectures.

The role demands senior technical leadership, collaboration across diverse teams, and the ability to deliver scalable AI capabilities for national cybersecurity missions.

Qualifications

• U.S. Citizenship and active security clearance.
• Bachelor's degree in CS, AI, DS, SWE, CE, or related STEM field.
• Five or more years building AI/ML, automation, or data engineering solutions.
• Strong Python development experience.
• Experience with Databricks AI Platform and AWS services.
• Experience building REST APIs and cloud-native apps.
• Experience integrating LLMs and AI agents.
• Ability to obtain DHS EOD suitability.

Responsibilities

• Design, develop, deploy AI/ML solutions for cybersecurity operations.
• Develop intelligent automation using LLMs and autonomous AI agents.
• Build RAG pipelines for secure knowledge retrieval.
• Design prompt strategies and optimize model performance.
• Develop data pipelines and ML training workflows.
• Collaborate with analysts, data scientists, and engineers.

Skills

Python

Databricks

LLMs

AI/ML engineering

REST APIs

Kubernetes

Cloud AWS

CI/CD

NLP

MLOps

Education

Bachelor's degree in CS/AI/DS

Tools

Databricks AI Platform

Amazon Bedrock

AWS AI services

Docker

Kubernetes

Git

GitHub Actions

Jenkins

Terraform

SageMaker

LangChain

Job description

Argo Cyber Systems is hiring an AI/ML Automation Engineer to architect and implement intelligent automation that enhances cyber operations, malware analysis, digital forensics, and mission decision-making. You will integrate LLMs, RAG solutions, and autonomous agents within cloud-native architectures.

The role demands senior technical leadership, collaboration across diverse teams, and the ability to deliver scalable AI capabilities for national cybersecurity missions.