AI Consultant Jobs in New Jersey
AI Consultant jobs in New Jersey are in strong demand, concentrated in financial services, pharmaceuticals, and enterprise technology sectors, with openings at every level from junior analyst through principal consultant. The busiest hiring markets are Newark, Jersey City, and Princeton, where firms like Cognizant, Deloitte, and Johnson and Johnson maintain significant operations. The most sought-after specialties include machine learning implementation, enterprise AI strategy, and data pipeline architecture. 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 12 AI Consultant Jobs in New Jersey
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Find AI Consultant JobsAI Consultant Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
AI Consultant 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 AI consultant jobs across New Jersey.
- Bachelor's or master's degree in computer science, data science, or a related field
- Hands-on experience with machine learning frameworks such as TensorFlow or PyTorch
- Demonstrated ability to translate AI solutions into business outcomes for enterprise clients
- Proficiency in Python and familiarity with cloud platforms including AWS, Azure, or GCP
- Experience presenting technical findings to non-technical stakeholders and senior leadership
- Relevant certification such as AWS Certified Machine Learning or Google Professional ML Engineer
AI Consultant Jobs in New Jersey: Frequently Asked Questions
How do you become a ai consultant in New Jersey?
Becoming an ai consultant in New Jersey typically starts with a bachelor's degree in computer science, data science, or engineering, though many practitioners hold a master's degree. New Jersey does not require a state-issued license for this role. Employers expect hands-on project experience, so building a portfolio through industry work, graduate research, or contract projects is the most direct path. Certifications from major cloud providers strengthen candidacy significantly with New Jersey's large enterprise and pharma employers.
How much do AI consultants make in New Jersey?
AI consultants 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 consultants in New Jersey?
Employers hiring ai consultants in New Jersey right now include JPMorganChase, ZS Associates, and Citi, based on current listings on Migrate Mate as of September 2026. New Jersey's dense concentration of pharmaceutical, financial services, and global consulting firms creates a steady baseline of demand that persists across hiring cycles.
Which New Jersey cities have the most ai consultant jobs?
The cities with the most ai consultant openings in New Jersey are Jersey City, Princeton, and Ewing. Newark and Jersey City draw the largest share of postings because of their proximity to New York City financial and consulting hubs, while Princeton's research corridor anchors demand from pharmaceutical giants and technology research centers in central New Jersey.
Are there remote ai consultant jobs in New Jersey?
Yes, and more than most fields. About 67% of ai consultant openings tied to New Jersey are remote or hybrid as of September 2026, reflecting how project-based and deliverable-focused this work tends to be. Strategy, modeling, and data analysis phases of AI consulting are most commonly performed remotely, while client discovery, solution deployment, and stakeholder workshops typically require on-site presence.
How can I get hired as a ai consultant in New Jersey with little or no experience?
The most realistic entry path is a junior data analyst or associate consultant role at one of New Jersey's large consulting practices or pharmaceutical companies, where structured analyst programs exist for recent graduates. Firms like Cognizant and Deloitte run new-graduate associate programs out of their New Jersey offices. A completed capstone project, GitHub portfolio, or cloud certification gives candidates a concrete edge when competing against others with similar academic backgrounds.
Where can I find and apply to ai consultant jobs in New Jersey?
You can find and apply to ai consultant jobs in New Jersey on Migrate Mate, which lists current openings across the state. Search the available roles, find the ones that match your background and target location, and apply directly to each position that fits.
See All 12 AI Consultant Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
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