AI Engineer
Job in
Jersey City, Hudson County, New Jersey, 07390, USA
Listed on 2026-10-10
Listing for:
Experis Technology Group
Full Time
position Listed on 2026-10-10
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Python
Job Description & How to Apply Below
Our client, banking Cybersecurity organization is seeking a AI Engineer to join their team. As a AI Engineer, you will be part of the Cybersecurity organization supporting Security Operations and threat-detection initiatives. The ideal candidate will have strong Python development experience, hands-on experience building GenAI applications (chatbots and AI agents), and the ability to integrate AI solutions with enterprise security data in a Databricks/Lakehouse environment—helping security teams identify, investigate, and respond to potential threats.
Job Title:AI Engineer
Location:Jersey City, New Jersey
Pay Range:$65/hr.
This position is open to W-2 candidates only;
No third-party vendors or C2C candidates.
- Design and build AI-powered chatbots and agents for cybersecurity and threat-detection use cases.
- Develop agentic AI and GenAI solutions that enable security teams to query, analyze, and investigate security data using natural language.
- Integrate AI applications with security data housed in an enterprise Data Lakehouse and Databricks environment.
- Build solutions that analyze large security datasets to identify threats, anomalies, suspicious behavior, and emerging risk patterns.
- Develop and integrate LLMs, RAG pipelines, embeddings, vector search, and AI agents into production applications.
- Strong Python development experience.
- Hands-on experience building GenAI applications, chatbots, and AI agents.
- Experience with LLMs, RAG, prompt engineering, embeddings, vector databases/search, and agentic frameworks.
- Strong experience with Databricks and Lakehouse architectures.
- Experience working with large-scale data using SQL, Spark/PySpark, and APIs.
- Opportunity to build AI solutions that directly support threat detection, security analytics, and investigation workflows.
- Work on production-ready LLM and RAG systems integrated with enterprise security data.
- Collaborate with Cybersecurity, Data Engineering, and Security Operations teams to translate requirements into scalable AI capabilities.
- Contribute to responsible AI and model risk-aligned solutions within a highly regulated banking environment.
- Build APIs and data integrations that connect AI applications to enterprise security data sources.
- Medical and Prescription Drug Plans
- Dental Plan
- Vision Plan
- Health Savings Account
- Health Flexible Spending Account
- Dependent Care Flexible Spending Account
- Supplemental Life Insurance
- Short Term and Long Term Disability Insurance
- Business Travel Insurance
- 401(k), Plus Match
- Weekly Pay
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