AI Engineer

Experis
Jersey City, NJ, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$135,200.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Big Data Cyber Security Information Engineering Intrusion Detection and Prevention SQL Databases Retrieval-Augmented Generation Large Language Models Apache Spark Pyspark

Job description

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?, + 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 If this is a role that interests you and you’d like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World’s Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

Requirements

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., + 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.

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This job is hosted externally. Click below to view the full posting and apply.

Apply on www.experis.com
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