AI Data Engineer Visa Sponsorship Jobs in New Jersey
New Jersey's AI data engineer hiring is anchored by major employers in the pharma corridor along Route 1, financial services firms in Jersey City, and tech operations tied to the broader New York metro. Companies like Johnson & Johnson, Cognizant, and Prudential Financial have consistent records of sponsoring H-1B visas for data and AI engineering roles across the state.
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Get Access To All JobsJob Title: Agentic AI Data Engineer
Hybrid: Jersey City, NJ
Job Type: Full Time
Max Budget: $150K
Total Experience required: 5-10 Years
Role Overview
We are seeking a highly skilled Agentic AI Data Engineer to design, build, and optimize intelligent, autonomous data systems that power next-generation AI applications. This role blends data engineering, machine learning infrastructure, and emerging agent-based AI frameworks to enable scalable, self-orchestrating pipelines and decision-making systems. You will work at the intersection of data platforms, large language models (LLMs), and cloud-native architectures—building systems that can reason, act, and adapt autonomously.
Key Responsibilities
- Design and implement agentic AI systems that autonomously orchestrate data workflows and decision pipelines
- Build scalable data pipelines for structured and unstructured data (batch + real-time)
- Develop and manage LLM-powered applications using retrieval-augmented generation (RAG), tool use, and multi-agent frameworks
- Integrate AWS AI/ML services into production-grade architectures
- Develop and optimize data lakes, warehouses, and lakehouse architectures
- Build APIs and microservices to expose AI/ML capabilities
- Ensure data quality, governance, and security across pipelines
- Collaborate with data scientists, ML engineers, and product teams to deploy AI solutions
- Implement monitoring, logging, and observability for AI agents and pipelines
- Optimize cost and performance of cloud-based AI workloads
Required Technical Skills
Cloud & AWS Ecosystem:
- Strong experience with AWS services, including:
- Amazon S3, Glue, Lambda, Step Functions
- Amazon Redshift / Athena
- Amazon SageMaker (training, deployment, pipelines)
- Amazon Bedrock (foundation models, agents, knowledge bases)
AI/ML & Agentic Systems:
- Experience with LLMs and generative AI systems
- Hands-on with agent frameworks (e.g., multi-agent orchestration, tool calling, planning systems)
- Familiarity with AgentCore / agent orchestration platforms
- Understanding of RAG architectures, embeddings, and vector databases
- Experience with model deployment, inference optimization, and prompt engineering
Data Engineering:
- Strong proficiency in Python and SQL
- Experience with ETL/ELT tools and frameworks
- Distributed data processing (Spark, PySpark, or similar)
- Streaming technologies (Kafka, Kinesis, or similar)
- Data modeling and schema design
Data & AI Infrastructure:
- Experience with vector databases (e.g., Pinecone, FAISS, OpenSearch)
- Knowledge of data lakehouse architectures (Delta Lake, Iceberg, Hudi)
- Containerization (Docker) and orchestration (Kubernetes)
- CI/CD for ML and data pipelines
Preferred Qualifications
- Experience building autonomous AI agents for enterprise use cases
- Knowledge of multi-agent collaboration systems and planning algorithms
- Familiarity with LangChain, LlamaIndex, or similar frameworks
- Experience with MLOps and LLMOps practices
- Understanding of graph-based workflows and knowledge graphs
- Exposure to real-time AI systems and event-driven architectures
Soft Skills
- Strong problem-solving and system design skills
- Ability to work in fast-paced, evolving AI environments
- Effective communication and cross-functional collaboration
- Curiosity and adaptability to emerging AI technologies
Education & Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 4+ years of experience in data engineering or ML engineering
- Hands-on experience with production-grade AI/ML systems
Nice-to-Have
- Experience with reinforcement learning or planning systems
- Background in distributed systems design
- Contributions to open-source AI/data projects
- Certifications in AWS (e.g., Solutions Architect, Machine Learning Specialty)
What You’ll Build
- Autonomous data pipelines that self-heal and optimize
- AI agents capable of reasoning over enterprise data
- Scalable LLM-powered applications integrated with business workflows
- Intelligent systems that move beyond automation into decision-making
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
Job Title: Agentic AI Data Engineer
Hybrid: Jersey City, NJ
Job Type: Full Time
Max Budget: $150K
Total Experience required: 5-10 Years
Role Overview
We are seeking a highly skilled Agentic AI Data Engineer to design, build, and optimize intelligent, autonomous data systems that power next-generation AI applications. This role blends data engineering, machine learning infrastructure, and emerging agent-based AI frameworks to enable scalable, self-orchestrating pipelines and decision-making systems. You will work at the intersection of data platforms, large language models (LLMs), and cloud-native architectures—building systems that can reason, act, and adapt autonomously.
Key Responsibilities
- Design and implement agentic AI systems that autonomously orchestrate data workflows and decision pipelines
- Build scalable data pipelines for structured and unstructured data (batch + real-time)
- Develop and manage LLM-powered applications using retrieval-augmented generation (RAG), tool use, and multi-agent frameworks
- Integrate AWS AI/ML services into production-grade architectures
- Develop and optimize data lakes, warehouses, and lakehouse architectures
- Build APIs and microservices to expose AI/ML capabilities
- Ensure data quality, governance, and security across pipelines
- Collaborate with data scientists, ML engineers, and product teams to deploy AI solutions
- Implement monitoring, logging, and observability for AI agents and pipelines
- Optimize cost and performance of cloud-based AI workloads
Required Technical Skills
Cloud & AWS Ecosystem:
- Strong experience with AWS services, including:
- Amazon S3, Glue, Lambda, Step Functions
- Amazon Redshift / Athena
- Amazon SageMaker (training, deployment, pipelines)
- Amazon Bedrock (foundation models, agents, knowledge bases)
AI/ML & Agentic Systems:
- Experience with LLMs and generative AI systems
- Hands-on with agent frameworks (e.g., multi-agent orchestration, tool calling, planning systems)
- Familiarity with AgentCore / agent orchestration platforms
- Understanding of RAG architectures, embeddings, and vector databases
- Experience with model deployment, inference optimization, and prompt engineering
Data Engineering:
- Strong proficiency in Python and SQL
- Experience with ETL/ELT tools and frameworks
- Distributed data processing (Spark, PySpark, or similar)
- Streaming technologies (Kafka, Kinesis, or similar)
- Data modeling and schema design
Data & AI Infrastructure:
- Experience with vector databases (e.g., Pinecone, FAISS, OpenSearch)
- Knowledge of data lakehouse architectures (Delta Lake, Iceberg, Hudi)
- Containerization (Docker) and orchestration (Kubernetes)
- CI/CD for ML and data pipelines
Preferred Qualifications
- Experience building autonomous AI agents for enterprise use cases
- Knowledge of multi-agent collaboration systems and planning algorithms
- Familiarity with LangChain, LlamaIndex, or similar frameworks
- Experience with MLOps and LLMOps practices
- Understanding of graph-based workflows and knowledge graphs
- Exposure to real-time AI systems and event-driven architectures
Soft Skills
- Strong problem-solving and system design skills
- Ability to work in fast-paced, evolving AI environments
- Effective communication and cross-functional collaboration
- Curiosity and adaptability to emerging AI technologies
Education & Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 4+ years of experience in data engineering or ML engineering
- Hands-on experience with production-grade AI/ML systems
Nice-to-Have
- Experience with reinforcement learning or planning systems
- Background in distributed systems design
- Contributions to open-source AI/data projects
- Certifications in AWS (e.g., Solutions Architect, Machine Learning Specialty)
What You’ll Build
- Autonomous data pipelines that self-heal and optimize
- AI agents capable of reasoning over enterprise data
- Scalable LLM-powered applications integrated with business workflows
- Intelligent systems that move beyond automation into decision-making
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
AI Data Engineer Job Roles in New Jersey
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Search AI Data Engineer Jobs in New JerseyAI Data Engineer Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in New Jersey?
New Jersey's largest H-1B sponsors for data and AI engineering roles include Cognizant, Tata Consultancy Services, Johnson & Johnson, Prudential Financial, and Merck. IT consulting firms headquartered or with major delivery centers in the state file a significant share of these petitions. Pharmaceutical and financial services companies also sponsor directly for in-house AI and data engineering positions.
Which visa types are most common for AI data engineer roles in New Jersey?
The H-1B is by far the most common visa for AI data engineers in New Jersey, given the role's classification as a specialty occupation requiring a bachelor's degree or higher in computer science, data science, or a related field. OPT and STEM OPT extensions are also widely used by recent graduates before employer-sponsored petitions are filed. Some multinational employers use the L-1B for intracompany transfers with specialized knowledge.
Which cities in New Jersey have the most AI data engineer sponsorship jobs?
Jersey City and Newark see the highest concentration of AI data engineer sponsorship activity, largely due to financial services and tech firms operating close to New York City. The Route 1 corridor, including Plainsboro, Princeton, and Parsippany, is a second major hub driven by pharmaceutical and life sciences employers. Florham Park and Basking Ridge also have a notable presence through telecom and insurance sector hiring.
How to find ai data engineer visa sponsorship jobs in New Jersey?
Migrate Mate is built specifically for international candidates seeking visa sponsorship roles in the U.S., including AI data engineer positions in New Jersey. You can filter directly by state and role to surface employers actively sponsoring visas. Because sponsorship willingness is often unlisted on general job postings, using a platform that pre-filters for it saves significant time in your New Jersey job search.
Are there state-specific factors that affect AI data engineer sponsorship hiring in New Jersey?
New Jersey's density of Fortune 500 pharma and financial firms means many AI data engineer roles require domain knowledge in regulated industries, which can influence how employers frame specialty occupation qualifications for H-1B petitions. Rutgers University and NJIT also supply a steady pipeline of OPT-eligible candidates, so employers in the state are generally familiar with sponsorship processes. Proximity to New York City means some roles are hybrid or shared across both states, which can affect the labor condition application filing location.
What is the prevailing wage for sponsored ai data engineer jobs in New Jersey?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.