AI Senior Security Engineer

Jersey City, NJ, United States (On-site)

Contract (5 months)

Published 5 hours ago

vulnerability management

api integration

Docker & Kubernetes

Security & Compliance

Vector databases

mlops

Python

LLM Integration

We're seeking a highly motivated Security Engineer to design, develop, and deploy autonomous agents that eliminate manual overhead and drive intelligent decision-making across the organization while ensuring proper guardrails and security controls are implemented.

Key Responsibilities:

• Agentic Workflow Design: Build and maintain AI agents capable of multi-step reasoning and tool-use to automate cyber security use cases such as Autonomous Incident Investigation, vulnerability prioritization.
• Advanced Prompt Engineering with expertise in designing high-precision, version-controlled prompts with ability to programmatically optimize LLM outputs for reliable security logic and automated remediation scripts.
• Use and fine-tune machine learning models (like Deep Learning, K-MEANS, SVM etc) to identify sophisticated attack patterns that bypass traditional signature-based defenses.
• LLM Integration: Integrate large language models (OpenAI, Anthropic, or open-source models into production environments via APIs or local deployments.
• Data Pipeline Orchestration: Develop and optimize data ingestion pipelines, specifically focusing on Vector Databases
• Process Mapping & Optimization: Audit existing manual workflows and re-engineer them using a Machine-First mindset, utilizing LLMs to handle unstructured data.
• Infrastructure & MLOps: Deploy and monitor AI solutions using cloud-native tools, ensuring high availability, low latency, and cost-efficiency.
• Safety & Compliance: Implement guardrails for AI outputs to ensure ethical standards, data privacy, and Human-in-the-loop checkpoints where necessary.

Qualifications:

• Experience in Python with hands-on in data ingestion, cleaning, machine learning libraries preferably in Scikit-Learn, Pytorch, system and web-based integrations.
• AI Frameworks: Proficiency with LangChain, CrewAI, or AutoGPT for agent orchestration.
• Machine Learning: Hands-on experience in using and tuning Machine Learning models for wide range of cyber security use cases.
• 3-4 years of hands-on experience with at least on the cloud AI solution (AWS Bedrock/SageMaker, Azure AI)
• DevOps: Docker, Kubernetes, and Git for version control and deployment.
• Deep experience with RESTful and GraphQL APIs to connect disparate systems.

Education:

• Bachelor's or Masters degree in Cybersecurity, Computer Science, Artificial Intelligence or related field, or relevant industry certifications. Equivalent work experience is equally preferable.

Preferred Certifications:

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

The pay range that the employer in good faith reasonably expects to pay for this position is $36.06/hour - $56.34/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.