AI/ML Engineer – Subject Matter Expert (SME)

ARGO Cyber Systems; Arlington (VA); On-site; USD 140,000 - 240,000; Full time

Job summary

Argo Cyber Systems is seeking an experienced AI/ML Engineer – SME to architect and implement intelligent automation capabilities that enhance cyber operations and decision-making. You will collaborate with stakeholders to develop AI-driven solutions for national cybersecurity missions.

The role focuses on building scalable ML pipelines, integrating AI with cloud platforms, and delivering secure data exchange across cyber platforms, with leadership responsibilities in AI modernization initiatives.

Responsibilities

• Design, develop, and deploy enterprise AI and machine learning solutions supporting cybersecurity operations
• Develop intelligent automation using LLMs, foundation models, and autonomous AI agents
• Build Retrieval-Augmented Generation (RAG) pipelines for secure knowledge retrieval
• Design prompt engineering strategies and optimize AI model performance
• Develop feature engineering, data preparation, and ML training pipelines
• Support model evaluation, tuning, validation, and continuous improvement
• Design end-to-end automation workflows for cyber operations
• Automate malware collection, detonation, classification, and analysis
• Build AI-driven orchestration supporting incident response and digital forensics
• Develop APIs enabling secure data exchange between cyber platforms
• Automate repetitive analytical processes to improve operational efficiency
• Design cloud-native AI solutions using AWS services
• Develop AI integrations utilizing Amazon Bedrock and foundation models
• Implement scalable ML pipelines using Databricks and cloud data platforms
• Deploy containerized AI workloads using Docker and Kubernetes
• Build CI/CD pipelines supporting rapid AI model deployment
• Design and maintain scalable data ingestion pipelines
• Build data transformation, normalization, and enrichment workflows
• Develop streaming data integrations supporting AI workloads
• Optimize data quality, governance, and operational performance
• Support structured, semi-structured, and unstructured data processing
• Develop AI-enabled malware analysis capabilities
• Support AI-driven threat intelligence enrichment
• Build detection engineering automation
• Develop machine learning capabilities supporting digital forensics
• Assist cyber analysts by integrating AI decision-support capabilities into operational workflows
• Provide technical leadership for AI modernization initiatives
• Mentor engineers on AI engineering best practices
• Collaborate with cybersecurity SMEs and software development teams
• Develop architecture documentation, design artifacts, and technical standards
• Present AI capabilities to executive leadership and government stakeholders

Job description

Argo Cyber Systems is a Service-Disabled Veteran-Owned Small Business delivering advanced cybersecurity engineering and AI services to Federal agencies. They are seeking an experienced AI/ML Engineer -- Subject Matter Expert (SME) to architect and implement intelligent automation capabilities that enhance cyber operations and decision-making. This role involves collaboration with various stakeholders to develop and optimize AI-driven solutions for national cybersecurity missions.

Responsibilities

• Design, develop, and deploy enterprise AI and machine learning solutions supporting cybersecurity operations
• Develop intelligent automation using LLMs, foundation models, and autonomous AI agents
• Build Retrieval-Augmented Generation (RAG) pipelines for secure knowledge retrieval
• Design prompt engineering strategies and optimize AI model performance
• Develop feature engineering, data preparation, and ML training pipelines
• Support model evaluation, tuning, validation, and continuous improvement
• Design end-to-end automation workflows for cyber operations
• Automate malware collection, detonation, classification, and analysis
• Build AI-driven orchestration supporting incident response and digital forensics
• Develop APIs enabling secure data exchange between cyber platforms
• Automate repetitive analytical processes to improve operational efficiency
• Design cloud-native AI solutions using AWS services
• Develop AI integrations utilizing Amazon Bedrock and foundation models
• Implement scalable ML pipelines using Databricks and cloud data platforms
• Deploy containerized AI workloads using Docker and Kubernetes
• Build CI/CD pipelines supporting rapid AI model deployment
• Design and maintain scalable data ingestion pipelines
• Build data transformation, normalization, and enrichment workflows
• Develop streaming data integrations supporting AI workloads
• Optimize data quality, governance, and operational performance
• Support structured, semi-structured, and unstructured data processing
• Develop AI-enabled malware analysis capabilities
• Support AI-driven threat intelligence enrichment
• Build detection engineering automation
• Develop machine learning capabilities supporting digital forensics
• Assist cyber analysts by integrating AI decision-support capabilities into operational workflows
• Provide technical leadership for AI modernization initiatives
• Mentor engineers on AI engineering best practices
• Collaborate with cybersecurity SMEs and software development teams
• Develop architecture documentation, design artifacts, and technical standards
• Present AI capabilities to executive leadership and government stakeholders