Applied AI Engineer Jobs in New Jersey
Applied AI Engineer jobs in New Jersey are in strong and growing demand, concentrated in pharmaceutical and life sciences R&D, financial services technology, and defense and cybersecurity contracting, with openings at every level from entry-level through senior and principal. The heaviest hiring is in Newark, Jersey City, and Princeton, where established employers like Johnson and Johnson, Cognizant, and Prudential Financial actively staff applied AI engineering teams. The most sought-after specialties in New Jersey right now are LLM fine-tuning and deployment, MLOps pipeline engineering, and AI integration with enterprise systems. Find a role that fits below and apply directly.
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As an Applied AI/ML Vice President within Global Private Bank, you will lead the design and build of agentic AI systems that execute reliable business workflows end-to-end. You will bring deep expertise in agent architectures—including memory, state, and context management; loop engineering; tool orchestration; and spec-driven development—to deliver safe, observable, and high-quality solutions. You will stay close to cutting-edge research, translating advances in LLMs, agent frameworks, reinforcement learning, knowledge graphs, retrieval, and self-improving systems into practical capabilities. You'll thrive in a highly collaborative environment, partnering with business, technologists, and control partners to shape requirements, controls, and success metrics..
Job Responsibilities:
- Develop advanced agentic AI solutions across NLP, speech analytics, time series, reinforcement learning, and recommendation systems.
- Design robust agent architectures combining LLM reasoning with tools, structured data, and APIs—spanning state, memory, and context management, plus loop engineering (plan/act/observe, verification, termination, and fallback/escalation).
- Engineer reliable agent-driven workflows emphasizing correctness, traceability, and control-aware behavior (guardrails, approvals, auditable decision paths).
- Build knowledge-centric reasoning layers, including knowledge graphs and hybrid retrieval (RAG + graph + structured sources) to improve grounding and accuracy.
- Drive specification-driven development: author specs and contracts (schemas, validators, tool/skill interfaces) and build evaluation/regression harnesses.
- Advance agent quality via recursive self-improvement through automated evaluation and critique loops, red-team feedback, skill/prompt instruction optimization, and outcome-driven dataset curation (human-in-the-loop as needed).
- Coach and mentor AIML team members, setting a high bar for engineering rigor and research depth.
Required qualifications, capabilities, and skills:
- PhD in a quantitative discipline (e.g., CS/EE/Math/OR/Optimization/Data Science) or equivalent industry/research experience (e.g., 3+ years with PhD-equivalent depth; or MS with 5+ years).
- Demonstrated expertise building agentic AI systems, including several of: memory/state/context management, tool orchestration and workflow reliability patterns, loop engineering, spec-driven development, and prompt/skill instruction optimization.
- Strong hands-on experience with ML/DL methods and toolkits (e.g., PyTorch/TensorFlow plus core Python data/ML stack).
- Ability to design experiments and evaluation frameworks with metrics aligned to business outcomes (quality, reliability, latency, cost, safety).
- Experience with scalable data and model workflows (training and/or inference) and strong software engineering practices.
- strong communication skills to explain technical concepts to both technical and business audiences.
Preferred qualifications, capabilities, and skills:
- Knowledge in search/ranking, reinforcement learning, or meta-learning (especially for agent routing, policies, and self-improvement).
- Experience with knowledge graphs, entity resolution, and ontology design.
Experience with A/B experimentation and metric-driven product development; CI pipelines and unit/integration testing.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
As an Applied AI/ML Vice President within Global Private Bank, you will lead the design and build of agentic AI systems that execute reliable business workflows end-to-end. You will bring deep expertise in agent architectures—including memory, state, and context management; loop engineering; tool orchestration; and spec-driven development—to deliver safe, observable, and high-quality solutions. You will stay close to cutting-edge research, translating advances in LLMs, agent frameworks, reinforcement learning, knowledge graphs, retrieval, and self-improving systems into practical capabilities. You'll thrive in a highly collaborative environment, partnering with business, technologists, and control partners to shape requirements, controls, and success metrics..
Job Responsibilities:
- Develop advanced agentic AI solutions across NLP, speech analytics, time series, reinforcement learning, and recommendation systems.
- Design robust agent architectures combining LLM reasoning with tools, structured data, and APIs—spanning state, memory, and context management, plus loop engineering (plan/act/observe, verification, termination, and fallback/escalation).
- Engineer reliable agent-driven workflows emphasizing correctness, traceability, and control-aware behavior (guardrails, approvals, auditable decision paths).
- Build knowledge-centric reasoning layers, including knowledge graphs and hybrid retrieval (RAG + graph + structured sources) to improve grounding and accuracy.
- Drive specification-driven development: author specs and contracts (schemas, validators, tool/skill interfaces) and build evaluation/regression harnesses.
- Advance agent quality via recursive self-improvement through automated evaluation and critique loops, red-team feedback, skill/prompt instruction optimization, and outcome-driven dataset curation (human-in-the-loop as needed).
- Coach and mentor AIML team members, setting a high bar for engineering rigor and research depth.
Required qualifications, capabilities, and skills:
- PhD in a quantitative discipline (e.g., CS/EE/Math/OR/Optimization/Data Science) or equivalent industry/research experience (e.g., 3+ years with PhD-equivalent depth; or MS with 5+ years).
- Demonstrated expertise building agentic AI systems, including several of: memory/state/context management, tool orchestration and workflow reliability patterns, loop engineering, spec-driven development, and prompt/skill instruction optimization.
- Strong hands-on experience with ML/DL methods and toolkits (e.g., PyTorch/TensorFlow plus core Python data/ML stack).
- Ability to design experiments and evaluation frameworks with metrics aligned to business outcomes (quality, reliability, latency, cost, safety).
- Experience with scalable data and model workflows (training and/or inference) and strong software engineering practices.
- strong communication skills to explain technical concepts to both technical and business audiences.
Preferred qualifications, capabilities, and skills:
- Knowledge in search/ranking, reinforcement learning, or meta-learning (especially for agent routing, policies, and self-improvement).
- Experience with knowledge graphs, entity resolution, and ontology design.
Experience with A/B experimentation and metric-driven product development; CI pipelines and unit/integration testing.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
See All 23 Applied AI Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Applied AI Engineer JobsApplied AI Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Applied AI Engineer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Fintech
- Banking & Financial Services
- Investment & Asset Management
- Manufacturing
- Technology & Software
What New Jersey Employers Look For
The qualifications that appear most often in applied AI engineer jobs across New Jersey.
- Bachelor's or master's degree in computer science, AI, or a related engineering field
- Hands-on experience building and deploying machine learning models in production environments
- Proficiency in Python and key ML frameworks such as PyTorch, TensorFlow, or Hugging Face
- Experience with MLOps tools and cloud platforms including AWS, Azure, or Google Cloud
- Ability to integrate large language models or generative AI into enterprise applications
- Strong collaboration skills to work across cross-functional product and data engineering teams
Applied AI Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become a applied ai engineer in New Jersey?
Applied AI engineering in New Jersey has no state-issued license or registration requirement, so the path runs through education and demonstrated technical skill. Most New Jersey employers expect at least a bachelor's degree in computer science, data science, or a related field, with a master's preferred at larger firms in pharma and finance. Building a portfolio of deployed ML projects and earning cloud certifications from AWS or Google strengthens a candidacy significantly in New Jersey's competitive market.
How much do applied AI engineers make in New Jersey?
Applied AI 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 applied ai engineers in New Jersey?
Employers hiring applied ai engineers in New Jersey right now include JPMorganChase, Citi, and Deloitte, based on current listings on Migrate Mate as of September 2026. New Jersey's dense concentration of pharmaceutical headquarters, financial services firms, and defense contractors means applied AI hiring here is especially active in regulated and data-intensive industries.
Which New Jersey cities have the most applied ai engineer jobs?
The cities with the most applied ai engineer openings in New Jersey are Jersey City, Bridgewater, and Ridgefield Park. Newark and Jersey City draw volume from financial technology and large consulting firms operating near New York City, while Princeton's openings are anchored by pharmaceutical research campuses and university-adjacent tech companies that run substantial applied AI programs.
Are there remote applied ai engineer jobs in New Jersey?
Yes, and more than most fields. About 44% of applied ai engineer openings tied to New Jersey are remote or hybrid as of September 2026, reflecting how much of this work happens in code, data pipelines, and model evaluation rather than on-site hardware. The most remote-friendly sub-areas are LLM integration work and MLOps, while roles involving proprietary on-premise data or regulated clinical environments tend to require an in-office presence.
How can I get hired as a applied ai engineer in New Jersey with little or no experience?
The most realistic entry path is through a junior ML engineer or AI associate role at one of New Jersey's large technology or consulting firms, where structured new-graduate programs exist at companies like Cognizant and Deloitte's Florham Park offices. Completing a cloud ML certification and contributing to an open-source or personal deployment project gives candidates a concrete portfolio edge. Adjacent roles in data engineering or software development at New Jersey pharma and finance firms also serve as strong stepping stones into applied AI work.
Where can I find and apply to applied ai engineer jobs in New Jersey?
You can find and apply to applied ai engineer jobs in New Jersey on Migrate Mate, which lists current New Jersey openings. Search the available roles, find the ones that fit your background and location, and apply directly to the employer from the listing.
See All 23 Applied AI 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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