AI Data Engineer Jobs in New Jersey
AI Data Engineer jobs in New Jersey are in strong demand, with concentrated hiring in financial services, pharmaceuticals, and telecommunications across experience levels from entry-level through senior and principal. The most active hiring metros are Jersey City, Newark, and Princeton, where employers like Johnson & Johnson, Cognizant, and Prudential Financial have established technology centers. The most sought-after specialties include large language model pipeline development, real-time data infrastructure, and MLOps. Find a role that fits below and apply directly.
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DESCRIPTION
Do you want to help define the future of Go to Market (GTM) for Amazon Bedrock? In this role, you will define, build, and deploy targeted strategies to accelerate customer adoption of Amazon Bedrock across industry verticals. You will engage with product managers to influence product direction and help customers tap into new markets using Amazon Bedrock alongside other AWS services. Amazon Bedrock hosts a number of foundation models — you will work directly with the model providers on joint GTM plans, joint customer engagements, external/internal evangelism, and demos and proof-of-concepts.
Key job responsibilities
You will define the go-to-market (GTM) strategy for Amazon Bedrock and Bedrock AgentCore lead cross-functional initiatives to expand existing markets, build scalable adoption programs, and identify new opportunities. Day to day this includes market sizing, partnering with counterparts across the globe to build an opportunity pipeline, working with customers to understand technical requirements, creating content to enable train field teams, driving industry thought leadership, working with product teams to define new features, and identifying partners.
You will drive the GTM plan for scaling adoption of Amazon Bedrock, interact with customers directly to understand their business problems, and work with model providers and solutions architects to define and implement scalable GenAI solutions. You will also work closely with account teams and product teams to unblock and drive production implementations.
The ideal candidate
You bring a business and technology background that lets you lead engagements with customers across segments — from startups to multinational enterprises. You have domain expertise in Generative AI and key ML-powered use cases, and the technical depth to articulate the benefits of Amazon Bedrock and related GenAI services to data scientists and C-level business and technical executives. You understand GenAI market trends, ecosystem, and opportunities, and you are passionate about market development and evangelism. You partner well across AWS (product, solutions architecture, sales, marketing, professional services) and externally with customers and model providers.
A day in the life
You'll partner with AWS service teams, field solutions architecture, sales, and marketing — representing your team to executive management and working directly with AWS's top customers. You'll help companies and partners understand best practices for operating on AWS, and spot patterns and trends that can be applied broadly across an industry segment to accelerate innovation.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
BASIC QUALIFICATIONS
- 5+ years of developing, negotiating and executing business agreements experience
- Experience selling cloud solutions at a software company or equivalent
- Experience conveying complex technical concepts to both technical and business audiences
- 8+ years experience in Go-To-Market, Business Development, Sales, or Consulting
- 5+ years of AI/ML experience
- Experience in implementing GenAI at an enterprise company
PREFERRED QUALIFICATIONS
- Experience influencing internal and external stakeholders
- Experience interpreting data and making business recommendations
- Experience influencing leadership decisions and managing cross-functional programs
- Experience with Specialized AI services such as Cyber-Security
- Experience with Multimodal AI and applications in industry use cases
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, Boston - 147,900.00 - 200,100.00 USD annually
USA, NJ, Jersey City - 162,700.00 - 220,200.00 USD annually
USA, NY, New York - 162,700.00 - 220,200.00 USD annually
USA, TX, Houston - 147,900.00 - 200,100.00 USD annually
See All 44 AI Data Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find AI Data Engineer JobsAI Data Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
AI Data Engineer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
- JPMorganChase10

- MUFG2

- Novartis2

- Campbell's2

- Amazon Web Services2

Top Industries Hiring
- Banking & Financial Services
- Investment & Asset Management
- Fintech
- Food & Beverage
What New Jersey Employers Look For
The qualifications that appear most often in AI data engineer jobs across New Jersey.
- Bachelor's or master's degree in computer science, data engineering, or a related technical field
- Proficiency in Python and SQL with experience building production-grade data pipelines
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
- Experience designing and maintaining data architectures that support machine learning workflows
- Familiarity with orchestration tools such as Apache Airflow, dbt, or Spark
- Strong understanding of MLOps practices including model deployment, monitoring, and versioning
AI Data Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become a ai data engineer in New Jersey?
Becoming an ai data engineer in New Jersey typically starts with a bachelor's degree in computer science, data science, or a related field, though many employers also consider candidates with equivalent technical bootcamp training and a strong project portfolio. New Jersey does not require a state-issued license for this role. Most candidates build hands-on experience through academic projects, open-source contributions, or internships with the state's large pharmaceutical and financial services employers before moving into full roles.
How much do AI data engineers make in New Jersey?
AI data engineers in New Jersey earn a median of about $135,280 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $80,720 for the lowest 10% to over $203,950 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai data engineers in New Jersey?
Employers hiring ai data engineers in New Jersey right now include JPMorganChase, MUFG, and Novartis, based on current listings on Migrate Mate as of November 2026. New Jersey's concentration of Fortune 500 headquarters in financial services and life sciences means that many of the state's most consistent postings come from large, established technology and professional services organizations with long-term AI data initiatives.
Which New Jersey cities have the most ai data engineer jobs?
Jersey City, New Jersey, and Morristown have the most ai data engineer openings in New Jersey. Jersey City and Newark draw heavy demand from financial services firms and large tech consultancies operating near New York City, while Princeton attracts postings from pharmaceutical and biotech research organizations with significant AI and data science programs anchored in that corridor.
Are there remote ai data engineer jobs in New Jersey?
Yes, and more than most fields, because ai data engineering is inherently desk-based and cloud-centric work that requires no physical presence. About 62% of ai data engineer openings tied to New Jersey are remote or hybrid as of November 2026, reflecting the role's strong compatibility with distributed teams. Pipeline architecture, model integration, and data platform work are the areas most commonly offered on fully remote terms.
How can I get hired as a ai data engineer in New Jersey with little or no experience?
The most realistic entry path is to secure a junior data engineer or data analyst role at one of New Jersey's large pharmaceutical or financial services employers, then build toward AI-specific work from within. Companies like Cognizant and Conduent run associate and graduate technology programs in New Jersey that accept candidates without direct industry experience. Building a portfolio that includes an end-to-end ML pipeline project on a public cloud platform gives early-career candidates a concrete edge when applying to these programs.
Where can I find and apply to ai data engineer jobs in New Jersey?
You can find and apply to ai data engineer jobs in New Jersey on Migrate Mate, which lists current openings tied to the state. Search the available roles, find the ones that match your experience and preferred location, and apply directly through each listing without any additional steps.
See All 44 AI Data Engineer Jobs in New Jersey
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