Senior Cyber Artificial Intelligence Operations Engineer

Position Overview
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 client guidance.
Strong problem-solving and analytical skills
Excellent communication and documentation skills

Notes:
Onsite
Schedule: Monday-Friday during standard business hours