Senior AI Software Engineer Jobs in New Jersey
Senior AI Software Engineer jobs in New Jersey represent one of the most active markets in the Northeast, with strong demand concentrated in financial services, pharmaceuticals, telecommunications, and defense technology across seniority levels from mid-level engineers through principal and staff roles. The largest hiring hubs are Jersey City, Princeton, and Parsippany, where established employers such as Cognizant, Johnson & Johnson, and Verizon maintain significant engineering operations and consistently recruit for AI-focused positions. The most in-demand specialties include large language model development, MLOps infrastructure, and AI-driven data platform engineering. Find a role that fits below and apply directly.
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Showing 5 of 17+ Senior AI Software Engineer 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 17 Senior AI Software Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find JobsSenior AI Software Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Senior AI Software Engineer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
- JPMorganChase12
- Qualcomm1
- Celersoft1
- ZT Systems1
- Rutgers University1
Top Industries Hiring
- Fintech
- Banking & Financial Services
- Investment & Asset Management
What New Jersey Employers Look For
The qualifications that appear most often in senior AI software engineer jobs across New Jersey.
- Bachelor's or master's degree in computer science, AI, or a closely related engineering field
- Demonstrated experience building and deploying production-grade machine learning or deep learning systems
- Proficiency in Python and familiarity with major ML frameworks such as TensorFlow or PyTorch
- Experience designing scalable MLOps pipelines including model monitoring and continuous retraining workflows
- Strong background in cloud platforms, particularly AWS, Azure, or Google Cloud AI services
- Ability to lead technical architecture discussions and mentor junior engineers on AI best practices
Senior AI Software Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become a senior ai software engineer in New Jersey?
A bachelor's degree in computer science, machine learning, or a related field is the standard starting point, and many New Jersey employers prefer a master's degree for senior roles. There is no state-issued license for software engineers in New Jersey, so the path runs through hands-on experience: building production ML systems, contributing to AI projects at New Jersey's dense pharma, fintech, or telecom employers, and earning cloud certifications from AWS, Azure, or Google that carry weight with hiring managers across the state.
How much do senior AI software engineers make in New Jersey?
Senior AI software engineers 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 senior ai software engineers in New Jersey?
Employers hiring senior ai software engineers in New Jersey right now include JPMorganChase, Qualcomm, and Celersoft, based on current listings on Migrate Mate as of November 2026. New Jersey's concentration of pharmaceutical headquarters, financial services firms in Jersey City, and major telecom and defense contractors means demand is distributed across multiple high-paying sectors rather than concentrated in a single industry.
Which New Jersey cities have the most senior ai software engineer jobs?
The cities with the most senior ai software engineer openings in New Jersey are Jersey City, New Jersey, and Secaucus. Jersey City drives volume through its proximity to Wall Street and a dense cluster of fintech and financial services engineering teams, Princeton draws demand from pharmaceutical R&D and university-adjacent tech spinouts, and Parsippany benefits from the large corporate campuses of telecommunications and professional services firms headquartered along the Route 10 corridor.
Are there remote senior ai software engineer jobs in New Jersey?
Yes, and more than most fields. About 0% of senior ai software engineer openings tied to New Jersey are remote or hybrid as of November 2026, reflecting how broadly the role lends itself to distributed work. Model development, research, and MLOps engineering are the functions most commonly offered as fully remote, while roles requiring close collaboration with embedded hardware or on-site data infrastructure teams are more likely to require in-person presence at New Jersey facilities.
How can I get hired as a senior ai software engineer in New Jersey with little or no experience?
The most realistic entry path is through a machine learning engineer or data scientist role at one of New Jersey's large pharmaceutical or financial services firms, which run structured associate and rotational programs designed for recent graduates. Companies such as Johnson & Johnson and Cognizant hire new graduates into engineering development programs that include AI project rotations. Building a portfolio of end-to-end ML projects on open datasets and earning an AWS or Azure ML certification significantly improves candidacy for these associate-level roles that ladder toward senior positions.
Where can I find and apply to senior ai software engineer jobs in New Jersey?
You can find and apply to senior ai software 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 background and target location within New Jersey, and apply directly to each position without any intermediate steps.
See All 17 Senior AI Software Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
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