Software Engineer AI Jobs in New Jersey
Software Engineer AI jobs in New Jersey are in strong and growing demand, concentrated in fintech, pharmaceuticals, telecommunications, and enterprise software, with openings at every level from junior engineers through principal and staff roles. The heaviest hiring clusters around Jersey City, Newark, and Princeton, where firms like Cognizant, Johnson & Johnson, and AT&T have established engineering operations. The most sought-after specialties in New Jersey right now are machine learning infrastructure, natural language processing, and AI-driven product development. Find a role that fits below and apply directly.
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Showing 5 of 40+ Software Engineer AI jobs
Position Details
- Medical, prescription drug, and dental coverage
- Paid vacation, holidays, and various leave programs
- Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
- Employee and dependent educational benefits (when applicable)
- Life insurance coverage
- Employee discount programs
Among the key duties of the position are the following:
Research
- Design AI-assisted systematic and living review workflows covering retrieval, screening, extraction, and continuous updating, and evaluate them against human-labeled reference standards.
- Lead the development and validation of methods that test whether cited publications substantiate the claims made about them, from sentence-level claims to paragraph-level and network representations of evidence.
- Study the reliability of AI models in biomedical settings, including detection of performance drift and automatic adaptation of models across data sources and over time.
- Develop and evaluate machine learning, clinical NLP, and multimodal AI methods for biomedical and health care research.
- Design evaluations of human-AI collaboration, including automation bias and the conditions under which combined performance exceeds either partner alone.
- Publish in peer-reviewed journals and conferences and release reproducible research software.
- Lead the preparation of NIH research proposals, beginning with an R01 application, including specific aims, background, preliminary data, approach, and evaluation plans.
- Generate and analyze preliminary data, and coordinate contributions from faculty, students, and collaborators.
- Identify further funding opportunities for research and training programs.
- Develop and deliver intensive courses and workshops on AI-assisted systematic reviews, machine learning, and responsible AI.
- Contribute to the development of AI research training programs and educational grant initiatives.
- Mentor doctoral students and junior researchers in study design, AI methods, research software, and scientific writing.
- PhD in biomedical informatics, data science, computer science, or a closely related field, completed by the start date.
- First-author peer-reviewed publications in machine learning, natural language processing, or biomedical AI.
- Experience designing and evaluating machine learning or large language model systems on biomedical or clinical data.
- Strong Python programming and experience building reproducible research pipelines.
- Excellent scientific writing and presentation skills, with demonstrated ability to communicate research findings and lead work across interdisciplinary teams.
- Peer-reviewed publications on LLM-assisted systematic or scoping reviews, automated evidence synthesis, or scientific claim verification.
- Research on model reliability under distribution shift, including drift detection, calibration, uncertainty quantification, explainability, or adaptation across data sources.
- Experience with electronic health records, clinical text, and multimodal clinical data.
- Experience with retrieval-augmented generation, multi-stage LLM workflows, semantic retrieval, or agentic AI systems.
- Contributions to research proposals, including funded awards.
- Senior professional experience leading data science or technical initiatives in academia or industry, including large-scale data systems, team mentoring, and delivery of applied AI projects.
Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate’s offer of employment or disciplinary action up to and including termination.
Posting Specific Questions
Required fields are indicated with an asterisk (*).
Applicant Documents
- Resume/CV
- Cover Letter/Letter of Application
Position Details
- Medical, prescription drug, and dental coverage
- Paid vacation, holidays, and various leave programs
- Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
- Employee and dependent educational benefits (when applicable)
- Life insurance coverage
- Employee discount programs
Among the key duties of the position are the following:
Research
- Design AI-assisted systematic and living review workflows covering retrieval, screening, extraction, and continuous updating, and evaluate them against human-labeled reference standards.
- Lead the development and validation of methods that test whether cited publications substantiate the claims made about them, from sentence-level claims to paragraph-level and network representations of evidence.
- Study the reliability of AI models in biomedical settings, including detection of performance drift and automatic adaptation of models across data sources and over time.
- Develop and evaluate machine learning, clinical NLP, and multimodal AI methods for biomedical and health care research.
- Design evaluations of human-AI collaboration, including automation bias and the conditions under which combined performance exceeds either partner alone.
- Publish in peer-reviewed journals and conferences and release reproducible research software.
- Lead the preparation of NIH research proposals, beginning with an R01 application, including specific aims, background, preliminary data, approach, and evaluation plans.
- Generate and analyze preliminary data, and coordinate contributions from faculty, students, and collaborators.
- Identify further funding opportunities for research and training programs.
- Develop and deliver intensive courses and workshops on AI-assisted systematic reviews, machine learning, and responsible AI.
- Contribute to the development of AI research training programs and educational grant initiatives.
- Mentor doctoral students and junior researchers in study design, AI methods, research software, and scientific writing.
- PhD in biomedical informatics, data science, computer science, or a closely related field, completed by the start date.
- First-author peer-reviewed publications in machine learning, natural language processing, or biomedical AI.
- Experience designing and evaluating machine learning or large language model systems on biomedical or clinical data.
- Strong Python programming and experience building reproducible research pipelines.
- Excellent scientific writing and presentation skills, with demonstrated ability to communicate research findings and lead work across interdisciplinary teams.
- Peer-reviewed publications on LLM-assisted systematic or scoping reviews, automated evidence synthesis, or scientific claim verification.
- Research on model reliability under distribution shift, including drift detection, calibration, uncertainty quantification, explainability, or adaptation across data sources.
- Experience with electronic health records, clinical text, and multimodal clinical data.
- Experience with retrieval-augmented generation, multi-stage LLM workflows, semantic retrieval, or agentic AI systems.
- Contributions to research proposals, including funded awards.
- Senior professional experience leading data science or technical initiatives in academia or industry, including large-scale data systems, team mentoring, and delivery of applied AI projects.
Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate’s offer of employment or disciplinary action up to and including termination.
Posting Specific Questions
Required fields are indicated with an asterisk (*).
Applicant Documents
- Resume/CV
- Cover Letter/Letter of Application
See All 40 Software Engineer AI Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Software Engineer AI JobsSoftware Engineer AI Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Software Engineer AI Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
- JPMorganChase28
- Freedom Mortgage2
- Amazon Web Services2
- WebMD1
- Verisk1
Top Industries Hiring
- Banking & Financial Services
- Fintech
- Investment & Asset Management
What New Jersey Employers Look For
The qualifications that appear most often in software engineer AI jobs across New Jersey.
- Bachelor's or master's degree in computer science, AI, or a related engineering field
- Proficiency in Python and at least one ML framework such as TensorFlow or PyTorch
- Experience building, training, and deploying large-scale machine learning models in production
- Familiarity with cloud platforms, particularly AWS, Azure, or Google Cloud AI services
- Strong background in data pipelines, feature engineering, and model evaluation methods
- Effective communication skills for collaborating with cross-functional product and research teams
Software Engineer AI Jobs in New Jersey: Frequently Asked Questions
How do you become a software engineer ai in New Jersey?
A bachelor's degree in computer science, artificial intelligence, or a closely related field is the standard starting point for software engineer ai roles in New Jersey. The state has no specific occupational license for this role. New Jersey employers in pharma corridors like Princeton and tech hubs in Jersey City and Newark typically expect hands-on experience with machine learning frameworks, demonstrated through projects, internships, or graduate research. A strong portfolio of deployed AI models is often as persuasive as credentials alone.
How much do software engineer AIs make in New Jersey?
Software engineer AIs in New Jersey earn a median of about $135,940 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $84,880 for the lowest 10% to over $207,200 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire software engineer ais in New Jersey?
Employers hiring software engineer ais in New Jersey right now include JPMorganChase, Freedom Mortgage, and Amazon Web Services, based on current listings on Migrate Mate as of November 2026. New Jersey's concentration of pharmaceutical, financial services, and telecommunications companies means demand for AI engineers extends well beyond pure tech firms.
Which New Jersey cities have the most software engineer ai jobs?
Jersey City, Marlton, and New Jersey lead New Jersey for software engineer ai openings. Jersey City and Newark benefit from proximity to New York City's financial and tech ecosystem, drawing firms that want metro-area talent with lower real estate costs, while Princeton anchors a separate corridor driven by pharmaceutical research and university-affiliated startups that rely heavily on AI and data science.
Are there remote software engineer ai jobs in New Jersey?
Yes, and more than most fields. About 57% of software engineer ai openings tied to New Jersey are remote or hybrid as of November 2026, reflecting how well this work translates to distributed teams. Model development, research engineering, and MLOps roles are most likely to be offered fully remote, while positions requiring close collaboration with on-site lab or hardware teams tend to require at least some in-person presence.
How can I get hired as a software engineer ai in New Jersey with little or no experience?
The most realistic entry path is an internship or rotational program at one of New Jersey's large pharmaceutical or enterprise technology employers, where junior AI roles are often structured for recent graduates. Companies like Cognizant and major pharma groups in the Princeton corridor run new-grad programs that accept candidates who demonstrate ML fundamentals. Transitioning from a data analyst or software developer role at the same employer is a common internal move. A public portfolio of machine learning projects, even from coursework, adds significant weight when formal experience is limited.
Where can I find and apply to software engineer ai jobs in New Jersey?
You can find and apply to software engineer ai jobs in New Jersey on Migrate Mate, which lists current New Jersey openings updated regularly. Search the available roles, find the ones that fit your background and location, and apply directly to each position. No signup is needed to view the listings.
See All 40 Software Engineer AI Jobs in New Jersey
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