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AI/ML Automation Engineer Location: Government Facility (Hybrid/Onsite)Security Clearance: Active Secret Clearance Required (TS/SCI Preferred)Customer: U.S. Department of Homeland Security (DHS)Employment Type: Full-TimeAbout Argo CyberArgo Cyber Systems is a Service-Disabled Veteran-Owned Small Business (SDVOSB) delivering advanced cybersecurity engineering, artificial intelligence, cloud security, digital forensics, threat intelligence, and cyber modernization services to Federal agencies and critical infrastructure organizations.We are seeking an experienced AI/ML Automation Engineer  to architect and implement intelligent automation capabilities that enhance cyber operations, malware analysis, digital forensics, and mission decision-making. This role combines machine learning engineering, generative AI, cloud-native development, and workflow automation to build scalable AI solutions supporting national cybersecurity missions.Position OverviewThe AI/ML Automation Engineer serves as the senior technical lead responsible for designing, developing, deploying, and optimizing AI-driven capabilities across cybersecurity operations.You will collaborate with cyber analysts, data scientists, software engineers, cloud architects, and mission stakeholders to implement advanced machine learning models, Large Language Model (LLM) integrations, Retrieval-Augmented Generation (RAG) solutions, autonomous agent workflows, and intelligent automation supporting operational cyber missions.This position offers the opportunity to shape next-generation AI capabilities used in support of incident response, malware analysis, threat intelligence, digital forensics, and cybersecurity modernization.Primary ResponsibilitiesAI & Machine Learning EngineeringDesign, 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.Intelligent AutomationDesign 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.Cloud AI EngineeringDesign 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.Data EngineeringDesign 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.Cybersecurity AIDevelop 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.Collaboration & LeadershipProvide 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.Required QualificationsU.S. CitizenshipActive Secret Security ClearanceAbility to obtain DHS Entry on Duty (EOD) SuitabilityBachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or related STEM fieldFive (5) or more years of professional experience developing AI, ML, automation, or data engineering solutionsStrong Python development experienceExperience with Databricks AI PlatformExperience implementing machine learning pipelinesExperience integrating Large Language Models (LLMs)Experience with Amazon Bedrock and AWS AI servicesExperience building REST APIs and cloud-native applicationsExperience with Git, CI/CD pipelines, and software development best practicesStrong analytical, problem-solving, and communication skillsPreferred QualificationsActive TS/SCI ClearanceExperience supporting DHS, CISA, NSA, FBI, DoD, or Intelligence Community programsExperience implementing Generative AI solutionsExperience developing autonomous AI agentsExperience building RAG architecturesExperience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar AI orchestration frameworksExperience with vector databases (Pinecone, FAISS, ChromaDB, OpenSearch Vector Engine)Experience supporting malware analysis, digital forensics, or threat intelligenceExperience implementing MLOps pipelinesExperience deploying AI into production cloud environmentsDesired Technical SkillsArtificial IntelligenceLarge Language Models (LLMs)Generative AIRetrieval-Augmented Generation (RAG)Prompt EngineeringAI AgentsAgentic AIModel Fine-TuningReinforcement LearningNatural Language Processing (NLP)Embedding ModelsMachine LearningTensorFlowPyTorchScikit-learnXGBoostML PipelinesFeature EngineeringModel EvaluationModel DeploymentCloudAWSAmazon BedrockSageMakerLambdaECSEKSS3IAMCloudWatchDatabricksData EngineeringSparkKafkaKinesisAirflowPrefectSQLNoSQLData LakesETL/ELTVector DatabasesSoftware EngineeringPythonFastAPIREST APIsDockerKubernetesGitGitHub ActionsJenkinsTerraformCybersecurityMalware AnalysisThreat IntelligenceIncident ResponseDigital ForensicsMITRE ATT&CKDetection EngineeringSIEM IntegrationSecurity AutomationDesired CertificationsOne or more of the following certifications are highly desirable:AWS Certified Machine Learning – SpecialtyAWS Certified AI PractitionerAWS Solutions Architect – ProfessionalDatabricks Certified Machine Learning ProfessionalMicrosoft Azure AI Engineer AssociateGoogle Professional Machine Learning EngineerCSSLPDoD 8140 IAT Level IIICISSP (Preferred)GIAC Certified Forensic Analyst (GCFA) (Preferred)What Success Looks LikeWithin your first year you will:Deploy secure AI capabilities supporting DHS cyber operations.Develop production-ready LLM and RAG solutions.Automate malware analysis and cybersecurity workflows.Improve analyst productivity through intelligent automation.Establish scalable AI engineering standards and MLOps practices.Deliver measurable mission improvements through AI-enabled decision support.Why Join Argo Cyber?Design next-generation AI capabilities supporting national cybersecurity.Work with cutting-edge Generative AI, LLMs, and autonomous agent technologies.Collaborate with elite cybersecurity engineers, AI researchers, and Federal mission partners.Influence AI modernization across critical government missions.Competitive compensation, comprehensive benefits, technical training, and opportunities to shape the future of AI-driven cyber operations.Background & Drug Screening Disclaimer© Argo Cyber Systems, LLC - All Rights ReservedArgo Cyber Systems, LLC is committed to maintaining a safe, secure, and trusted workplace for all employees and our federal clients. Employment with Argo Cyber Systems is contingent upon successful completion of all required background investigations and pre-employment screenings, which may include, but are not limited to:Criminal background checks (federal, state, and local)Employment and education verificationReference checksDrug screening (in compliance with federal and state law)Security clearance verification (as applicable for classified positions)Candidates selected for employment in positions requiring access to sensitive or classified information may also be subject to additional U.S. Government background investigations and security adjudication processes, including DHS Entry on Duty (EOD) suitability or equivalent federal clearance requirements.Argo Cyber Systems reserves the right to disqualify or rescind an offer of employment based on the results of any background or screening process that, in the company's judgment, may impact an individual's ability to perform essential job functions or meet contractual obligations.All background investigations and screenings are conducted in accordance with applicable federal, state, and local laws, including the Fair Credit Reporting Act (FCRA). Candidates will be notified of their rights and provided an opportunity to review and dispute any adverse findings before final employment determinations are made.
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