AI Senior Security Engineer

Ampcus Inc. • Jersey City, NJ

14h • Hybrid

About The Position

Ampcus Inc. is seeking a highly motivated AI Senior Security Engineer to design, develop, and deploy autonomous AI agents. These agents will aim to reduce manual overhead and drive intelligent decision-making across cybersecurity operations, while ensuring appropriate guardrails, security controls, data privacy, and human oversight. The role involves leveraging AI and machine learning to enhance cybersecurity defenses and automate complex tasks.

Requirements

• Hands-on experience with Python, including data ingestion, data cleaning, machine learning libraries, and system and web-based integrations.
• Proficiency with machine learning frameworks and libraries, preferably Scikit-Learn and PyTorch.
• Experience with AI agent orchestration frameworks such as LangChain, CrewAI, or AutoGPT.
• Hands-on experience developing and tuning machine learning models for a range of cybersecurity use cases.
• 3–4 years of hands-on experience with at least one cloud-based AI platform, such as AWS Bedrock, AWS SageMaker, or Azure AI.
• Experience with Docker, Kubernetes, and Git for deployment and version control.
• Strong experience with RESTful and GraphQL APIs for integrating disparate systems.
• Experience designing and implementing AI/ML solutions in cybersecurity environments.
• Bachelor's or Master's degree in Cybersecurity, Computer Science, Artificial Intelligence, or a related field. Relevant industry certifications and equivalent practical work experience may be considered.

Nice To Haves

• GIAC Machine Learning Engineer
• AWS Certified Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• Certified Information Systems Security Professional (CISSP)

Responsibilities

• Design, build, and maintain AI agents capable of multi-step reasoning and tool use to automate cybersecurity use cases, including autonomous incident investigation and vulnerability prioritization.
• Develop advanced prompt engineering solutions using high-precision, version-controlled prompts and programmatic techniques to optimize LLM outputs for reliable security logic and automated remediation.
• Use and fine-tune machine learning models, including deep learning, K-Means, SVM, and related techniques, to identify sophisticated attack patterns that bypass traditional signature-based defenses.
• Integrate large language models from providers such as OpenAI, Anthropic, and open-source platforms into production environments through APIs or local deployments.
• Develop and optimize data ingestion pipelines, with a particular focus on vector databases and AI-ready data processing.
• Audit existing manual workflows and re-engineer them using a machine-first approach, leveraging LLMs to process and analyze unstructured data.
• Deploy, monitor, and optimize AI solutions using cloud-native technologies, ensuring high availability, low latency, scalability, and cost efficiency.
• Implement AI safety and security guardrails to ensure appropriate outputs, ethical standards, data privacy, and human-in-the-loop checkpoints where required.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior