Newark, NJ

Data Jobs in Newark, NJ

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Today

12097 AI Engineer - Solutions & LLMOps

PSEG Newark, NJ

Newark, NJ

Today

$79k - $126k/yr Full time Agentic Ai Artificial Intelligence Azure Openai

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Job Description

PSEG is expanding its enterprise AI capabilities with a dedicated AI Engineer focused on hands-on AI engineering and LLMOps. Based in Newark, NJ with a hybrid work arrangement, this role targets building scalable, secure, production-ready AI capabilities and advancing AI operationalization across the organization.

Responsibilities

Design and validate proof-of-concept solutions for enterprise AI and Generative AI use cases.
Construct AI agents, copilots, workflows, APIs, and AI-enabled applications using enterprise AI platforms and cloud services.
Experiment with emerging AI technologies and assess feasibility with business and technical teams.
Stay informed on evolving AI engineering, GenAI, and MLOps trends and best practices.
Develop reusable AI services and shared components.
Develop and integrate AI solutions across enterprise platforms and cloud services.
Support reusable AI frameworks, integration patterns, and engineering best practices.
Contribute to scalable AI platform architecture and deployment standards.
Deploy, monitor, maintain, and optimize AI solutions in production environments.
Support CI/CD, deployment automation, versioning, lifecycle management, and release processes.
Implement monitoring, logging, observability, and performance tracking for AI applications.
Collaborate with infrastructure and platform teams to improve reliability, scalability, and operational excellence.
Ensure AI solutions comply with governance, cybersecurity, privacy, and Responsible AI standards.
Support governance reviews, risk assessments, and implementation of operational controls.
Incorporate security, monitoring, and lifecycle management into AI solution delivery.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
2+ years of experience in software engineering, cloud engineering, AI/ML development, or platform engineering.
Experience developing cloud-based applications, APIs, or automation workflows.
Experience with scripting or programming languages such as Python.
Understanding of cloud platforms, APIs, and application integration concepts.
Strong analytical, problem-solving, and collaboration skills.
Compliance with the Department of Energy's regulation 10 CFR 810 is required.

Technologies

Python
Azure OpenAI
Azure AI Services
AWS Bedrock
Git
Azure DevOps
GitHub
Docker
Kubernetes
ServiceNow
SAP
Salesforce

Benefits

Medical insurance
Dental insurance
Vision insurance
Parental leave and family leave programs
Behavioral health programs
401(k) with company match
Life insurance
Tuition reimbursement
Generous paid time off

Compensation

Salary range: USD 79,400 - 125,600 per year.

Job Summary

At this time, only current PSEG employees are being considered. The AI Engineer role blends hands-on AI engineering with LLMOps to establish scalable, secure, production-ready AI capabilities across the enterprise. It encompasses evaluating, prototyping, designing, developing, deploying, supporting, and continuously improving AI solutions in a rapidly evolving tech landscape. The role emphasizes building AI-powered applications using enterprise AI platforms and cloud services while ensuring reliability, security, and operational efficiency throughout their lifecycle. Additional responsibilities include AI operationalization, deployment automation, monitoring, prompt and model lifecycle management, LLMOps practices, and ongoing maintenance of production AI solutions.

Desired

Experience with AI, Machine Learning, Generative AI, or intelligent automation technologies.
Familiarity with cloud AI platforms such as Azure OpenAI, Azure AI Services, AWS Bedrock, or similar.
Exposure to AI agents, copilots, Retrieval-Augmented Generation (RAG), or GenAI workflows.
Experience with DevOps, CI/CD, containerization, monitoring, LLMOps, and MLOps concepts.
Experience with Git, Azure DevOps, GitHub, Docker, Kubernetes, or similar tools.
Familiarity with enterprise platforms such as ServiceNow, SAP, or Salesforce.
Experience in regulated industries such as utilities, energy, financial services, or healthcare.

Markets

Newark
New York City

Job Segment

Test Engineer
Testing
Cloud
Software Engineer
Compliance
Engineering
Technology
Legal

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1mo ago

Senior Data Engineer - PGIM Technology

Prudential Newark, NJ

Newark, NJ

1mo ago Closed

$115k - $155k/yr Full time Senior AWS Aws Glue

This position is no longer accepting applications (closed Jul 23, 2026).

Job Description

Prudential's PGIM Technology is seeking a Senior Data Engineer to design, build, and maintain scalable data and AI solutions on cloud platforms. The role emphasizes hands-on engineering, data ingestion and transformation, and AI use cases such as semantic search and Retrieval-Augmented Generation (RAG). Collaboration across analysts, scientists, and stakeholders is essential, with a hybrid work arrangement in Newark, New Jersey.

Location

Newark, New Jersey, hybrid work arrangement.

Compensation

USD 115,000 - 155,000 per year.

Responsibilities

Design, build, and maintain scalable data pipelines (ETL/ELT) to support analytics and AI workloads.
Develop solutions using Microsoft Fabric, Azure Data Factory, or equivalent tools.
Implement data quality checks, transformations, and data modeling.
Handle large-scale datasets with PySpark and SQL.
Deploy and integrate machine learning models within data pipelines.
Develop AI-enabled capabilities such as semantic search, embeddings, and Retrieval-Augmented Generation.
Build and expose data and AI services via APIs.
Contribute to CI/CD processes using GitHub Actions or Azure DevOps.
Apply best practices for data security, governance, and access control.
Monitor, troubleshoot, and resolve issues in pipelines and AI systems.
Collaborate with analysts, data scientists, and business stakeholders.
Produce documentation and reusable components for future projects.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
3–6 years of experience in data or AI engineering.
Strong Python and SQL skills.
Experience with data pipeline tools such as Azure Data Factory, Microsoft Fabric, AWS Glue, or similar.
Proficiency with Spark and PySpark.
Familiarity with data lakes and data warehouses.
Experience deploying machine learning models.
Basic understanding of MLOps.
Exposure to Generative AI concepts including embeddings, RAG, and LLM APIs.
Experience with REST APIs and microservices architecture.
Familiarity with CI/CD practices and Git.
Understanding of data governance and security principles.
Strong problem-solving abilities and communication skills.

Technologies

Python
SQL
PySpark
Spark
Microsoft Fabric
Azure Data Factory
AWS Glue
GitHub Actions
Azure DevOps
REST APIs

Benefits

Competitive base salary with yearly bonus potential.
Medical, dental, vision, life and disability insurance, generous PTO, and various leave options including parental and military leave.
401(k) plan with company match up to 4 percent.
Company-funded pension plan.
Wellness program reimbursements up to $1,600 annually for personal wellbeing needs.
Work/Life Resources covering parenting, housing, senior care, finances, pets, legal matters, education, mental health, and career development.
Education benefits for traditional degree enrollment and accredited certificate programs.
Employee Stock Purchase Plan with purchase at 85 percent of the lower price, after one year of service.

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1mo ago

Senior Data Engineer

PGIM Newark, NJ

Newark, NJ

1mo ago Closed

$115k - $155k/yr Full time Senior Data Engineer Data Integration

This position is no longer accepting applications (closed Jul 12, 2026).

Job Description

Join PGIM in Newark, NJ for a hybrid Senior Data Engineer role focused on designing, building, and maintaining scalable data and AI solutions on modern cloud platforms. You will collaborate with senior engineers and key stakeholders to develop data pipelines, analytics, and AI capabilities. This position requires on-site work three days per week. The base salary ranges from $115,000 to $155,000 per year, with potential for an annual bonus.

Responsibilities

Design, implement, and maintain scalable ETL and ELT data pipelines
Develop data solutions using Microsoft Fabric, Azure Data Factory, or equivalent tools
Incorporate data quality checks, data transformations, and data modeling practices
Work with large-scale datasets using PySpark and SQL
Deploy and integrate machine learning models into data pipelines
Develop AI powered capabilities including semantic search, embeddings, and retrieval augmented generation (RAG)
Create and expose data and AI services through APIs
Contribute to CI/CD pipelines using GitHub Actions or Azure DevOps
Apply data security, governance, and access control best practices
Monitor and troubleshoot data pipelines and AI systems
Collaborate with data analysts, data scientists, and business stakeholders
Contribute to documentation and reusable components

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
3–6 years of experience in data or AI engineering
Strong Python and SQL skills
Experience with data pipeline tools such as Azure Data Factory, Microsoft Fabric, AWS Glue, or equivalent
Experience with Spark or PySpark
Familiarity with data lakes and data warehouses
Experience deploying machine learning models
Basic understanding of MLOps
Exposure to Generative AI concepts (embeddings, RAG, LLM APIs)
Experience with REST APIs and microservices
Familiarity with CI/CD and Git
Understanding of data governance and data security
Strong problem-solving and communication skills

Technologies

Microsoft Fabric
Azure Data Factory
AWS Glue
PySpark
Spark
Python
SQL
REST APIs
GitHub Actions
Azure DevOps
LLM APIs

Benefits

Market-competitive base salary with annual bonus potential
Medical, dental, vision, life, and disability insurance; PTO and parental/military leave
401(k) with company match up to 4%
Company-funded pension plan
Wellness programs with up to $1,600 per year reimbursement
Work/Life resources
Education benefit for degree or certificate programs
Employee Stock Purchase Plan (ESPP) with 85% purchase price after one year

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Data Jobs in Newark, NJ

12097 AI Engineer - Solutions & LLMOps

Senior Data Engineer - PGIM Technology

Senior Data Engineer

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