AI Senior Security Engineer

Location: Jersey City, NJ / Tampa, FL / Phoenix, AZ – Onsite
Experience: 3–4+ Years of Hands-on Cloud AI Experience

Job Overview

We are seeking a highly motivated AI Senior Security Engineer to design, develop, and deploy autonomous AI agents and intelligent security solutions that reduce manual effort and improve cybersecurity decision-making while maintaining strong security controls, guardrails, and compliance.

The ideal candidate will have strong experience in Agentic AI, Python, Machine Learning, LLMs, cybersecurity use cases, vector databases, cloud AI platforms, MLOps, APIs, Docker, and Kubernetes.

Key Responsibilities

Agentic AI & Workflow Automation

• Build and maintain AI agents capable of multi-step reasoning and tool use.
• Develop autonomous cybersecurity solutions for use cases such as:
  • Incident investigation
  • Vulnerability prioritization
  • Security analysis
  • Automated remediation
• Re-engineer manual security workflows using a machine-first approach.

Prompt Engineering & LLM Integration

• Design and maintain high-precision, version-controlled prompts.
• Programmatically optimize LLM outputs for reliable security logic and remediation workflows.
• Integrate large language models such as OpenAI, Anthropic, and open-source LLMs into production environments through APIs or local deployments.

Machine Learning & Cybersecurity

• Develop and fine-tune machine learning models for cybersecurity use cases.
• Apply techniques including:
  • Deep Learning
  • K-Means
  • SVM
  • Other ML algorithms
• Identify sophisticated attack patterns that may bypass traditional signature-based security defenses.

Data Engineering & Vector Databases

• Develop and optimize data ingestion pipelines.
• Process, transform, and prepare data for AI/ML applications.
• Design and integrate solutions using Vector Databases for AI-powered security workflows.

Infrastructure & MLOps

• Deploy, monitor, and maintain AI solutions using cloud-native technologies.
• Ensure AI systems provide:
  • High availability
  • Low latency
  • Scalability
  • Cost efficiency
• Implement production deployment and monitoring practices for AI/ML solutions.

AI Safety & Security

• Implement AI guardrails to ensure reliable and secure AI outputs.
• Protect sensitive data and maintain data privacy.
• Implement Human-in-the-Loop checkpoints where required.
• Ensure AI solutions meet appropriate security, compliance, and ethical standards.

Required Qualifications

• Strong hands-on experience with Python.
• Experience with data ingestion, data cleaning, and machine learning libraries.
• Strong experience with:
  • Scikit-learn
  • PyTorch
  • Machine Learning
• Experience developing system and web-based integrations.
• Proficiency with Agentic AI frameworks such as:
  • LangChain
  • CrewAI
  • AutoGPT
• Hands-on experience applying and tuning Machine Learning models for cybersecurity use cases.
• 3–4 years of hands-on experience with at least one cloud AI platform, such as:
  • AWS Bedrock
  • AWS SageMaker
  • Azure AI
• Experience with Docker and Kubernetes.
• Strong Git/version control experience.
• Deep experience with RESTful and GraphQL APIs.
• Strong understanding of AI/ML deployment and production environments.

Education

• Bachelor's or Master's degree in:
  • Cybersecurity
  • Computer Science
  • Artificial Intelligence
  • Related technical field
• Relevant industry certifications and equivalent professional experience may also be considered.

Preferred Certifications

• GIAC Machine Learning Engineer
• AWS Certified Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• CISSP

Core Skills

Agentic AI | AI Security | Cybersecurity | Python | Machine Learning | Deep Learning | Scikit-learn | PyTorch | LangChain | CrewAI | AutoGPT | LLMs | OpenAI | Anthropic | AWS Bedrock | AWS SageMaker | Azure AI | Vector Databases | RAG | Prompt Engineering | AI Guardrails | Human-in-the-Loop | MLOps | Data Pipelines | REST APIs | GraphQL | Docker | Kubernetes | Git | Cloud AI | Security Automation | Vulnerability Prioritization | Incident Investigation | Automated Remediation