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# AI Senior Security Engineer

- **Company:** Capgemini
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Salary:** $75,005.0 - $117,187.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cyber Security, DevOps, Information Systems Security Architecture Professional, Python (Programming Language), Machine Learning, OpenAI, Support Vector Machine, Systems Integration, Unstructured Data, Software Vulnerability Management, Workflow Management Systems, Data Ingestion, Pytorch, System Availability, Large Language Models, Prompt Engineering, Deep Learning, Agentic-AI, Git, Scikit Learn, Kubernetes, Information Technology, Low Latency, CrewAI, Graphql, Machine Learning Operations, Azure AI, Restful APIs, Data Pipelines, Human in the Loop, K Means, Software Library, Docker
- **Published:** October 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c7eef17f88006caa

## About the Role

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., * 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)

## Description

* 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.