Job Requirements
Washington, DC
Public Trust Polygraph not specified
Career Level not specified
Salary not specified
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Job Description
Cyber Artificial Intelligence Operations Engineer
100% ONSITE in Washington DC
Per Federal contract U.S. Citizenship is required
Must be able to pass enhanced background screen (criminal, financial, drug) for Public Trust clearance
Long Term Multi-Year Contract
W-2 or C2C
Application deadline: 7/10/2026
We are seeking a Cyber Artificial Intelligence Operations Engineer with experience implementing artificial intelligence (AI) solutions for cybersecurity purposes. The ideal candidate will have experience working with a variety of AI technologies and models and will have exceptional working knowledge on the architecture and design requirements to implement AI solutions that support cybersecurity operations (e.g., intrusion detection, intrusion prevention, incident response, vulnerability analysis, security tests and evaluations, etc.). This position will require the successful candidate to work as part of a fusion team that includes cybersecurity practitioners to develop and deliver AI-enabled cybersecurity tools and capabilities.
Key Responsibilities:
• Participate in the delivery of cyber-AI solutions as part of an integrated team that includes traditional AI engineers, AI operators, and cybersecurity subject matter experts all working together to deliver AI-enhanced cybersecurity capabilities.
• Design, implement, deploy, maintain, and evolve AI-enhanced cybersecurity solutions that support a broad range of functions including intrusion detection, intrusion prevention, incident response, insider risk, vulnerability analysis, threat hunting, cyber threat intelligence, and security test and evaluation activities.
• Instrument AI systems for cybersecurity activities with observability and controllability.
• Monitor the performance of AI systems designed for cybersecurity purposes and ensure effectiveness.
• Analyze, fine-tune and optimize the performance of the AI systems that are designed to support cybersecurity purposes and mission needs
• Develop analytic products and reports that demonstrate the effectiveness of AI-enabled cybersecurity capabilities to include metrics and technical reports.
Required Qualifications:
• 5+ years of experience in AI, data science, software engineering, with knowledge of data structures that support AI and cybersecurity practices
• 2+ years of experience in a security, information security, or cybersecurity field that involves the defense of technical systems
• Proficiency with AI infrastructure components, automation tools, and scripting languages such as Python, Bash
• Familiarity with one or more of the AI frameworks and tools such as AWS Bedrock and Sagemaker, Transformer, TensorFlow, PyTorch, and Langchain/Llamaindex
• Familiarity with open source LLM models, such Llama, Mistral
• Experience in fine-tuning LLM models
• Knowledge of AI design patterns
• Bachelor’s degree in Computer Science, Information Systems, or other related field is required or related work experience
Preferred Qualifications
• Hands-on experience with DevSecOps and CI/CD practices
• Experience in AWS cloud architecture design and operation
• Experience in Terraform, Dockers Kubernetes, and/or Gitlab
• Demonstrated effective change champion and ability to work effectively with others (including remote employees) to deliver complex, critical strategic IT initiatives
• Experience operating in government environments that follow NIST, FISMA, FedRAMP, and OMB guidance.
• Strong problem-solving and analytical skills
• Excellent communication and documentation skills
100% ONSITE in Washington DC
Per Federal contract U.S. Citizenship is required
Must be able to pass enhanced background screen (criminal, financial, drug) for Public Trust clearance
Long Term Multi-Year Contract
W-2 or C2C
Application deadline: 7/10/2026
We are seeking a Cyber Artificial Intelligence Operations Engineer with experience implementing artificial intelligence (AI) solutions for cybersecurity purposes. The ideal candidate will have experience working with a variety of AI technologies and models and will have exceptional working knowledge on the architecture and design requirements to implement AI solutions that support cybersecurity operations (e.g., intrusion detection, intrusion prevention, incident response, vulnerability analysis, security tests and evaluations, etc.). This position will require the successful candidate to work as part of a fusion team that includes cybersecurity practitioners to develop and deliver AI-enabled cybersecurity tools and capabilities.
Key Responsibilities:
• Participate in the delivery of cyber-AI solutions as part of an integrated team that includes traditional AI engineers, AI operators, and cybersecurity subject matter experts all working together to deliver AI-enhanced cybersecurity capabilities.
• Design, implement, deploy, maintain, and evolve AI-enhanced cybersecurity solutions that support a broad range of functions including intrusion detection, intrusion prevention, incident response, insider risk, vulnerability analysis, threat hunting, cyber threat intelligence, and security test and evaluation activities.
• Instrument AI systems for cybersecurity activities with observability and controllability.
• Monitor the performance of AI systems designed for cybersecurity purposes and ensure effectiveness.
• Analyze, fine-tune and optimize the performance of the AI systems that are designed to support cybersecurity purposes and mission needs
• Develop analytic products and reports that demonstrate the effectiveness of AI-enabled cybersecurity capabilities to include metrics and technical reports.
Required Qualifications:
• 5+ years of experience in AI, data science, software engineering, with knowledge of data structures that support AI and cybersecurity practices
• 2+ years of experience in a security, information security, or cybersecurity field that involves the defense of technical systems
• Proficiency with AI infrastructure components, automation tools, and scripting languages such as Python, Bash
• Familiarity with one or more of the AI frameworks and tools such as AWS Bedrock and Sagemaker, Transformer, TensorFlow, PyTorch, and Langchain/Llamaindex
• Familiarity with open source LLM models, such Llama, Mistral
• Experience in fine-tuning LLM models
• Knowledge of AI design patterns
• Bachelor’s degree in Computer Science, Information Systems, or other related field is required or related work experience
Preferred Qualifications
• Hands-on experience with DevSecOps and CI/CD practices
• Experience in AWS cloud architecture design and operation
• Experience in Terraform, Dockers Kubernetes, and/or Gitlab
• Demonstrated effective change champion and ability to work effectively with others (including remote employees) to deliver complex, critical strategic IT initiatives
• Experience operating in government environments that follow NIST, FISMA, FedRAMP, and OMB guidance.
• Strong problem-solving and analytical skills
• Excellent communication and documentation skills
group id: 10295162
