AI Engineer

Experis Technology Group; Jersey City (NJ); On-site; USD 76,000 - 103,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

Health Savings Account

Health Flexible Spending Account

Dependent Care FSA

Life Insurance

Travel Insurance

401(k) with match

Weekly Pay

Job summary

Experis Technology Group is seeking an AI Engineer for a banking cybersecurity client in Jersey City, NJ. You will design and build AI-powered chatbots and agents to support threat-detection and security analytics, integrating AI with enterprise data in Databricks and Lakehouse environments.

The role emphasizes hands-on Python development, GenAI applications, and working with large security datasets to identify threats, investigate incidents, and automate responses within a regulated banking

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python development

GenAI, chatbots & AI agents

LLMs, RAG, embeddings

Databricks / Lakehouse

SQL & Spark/PySpark

API integration

Tools

Databricks

Lakehouse architecture

Spark / PySpark

Embeddings / vector search

LLM frameworks

Job description

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.

What's the Job?

• 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.

What's Needed?

• 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.

What's in it for me?

• 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.

Upon completion of waiting period consultants are eligible for:

• 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