Solution Engineer Jobs in New Jersey
Solution Engineer jobs in New Jersey are in strong demand, with a steady concentration of openings across enterprise technology, financial services, life sciences, and telecommunications, at levels from associate through principal. The largest hiring metros are Newark, Jersey City, and Parsippany, where established employers like Cognizant, Johnson & Johnson, and Conduent maintain significant presences and regularly bring on solution engineers. The most sought-after specialties in the state right now are cloud infrastructure, SaaS platform integration, and cybersecurity solutions. Find a role that fits below and apply directly.
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Showing 5 of 10+ Solution Engineer jobs
No Relocation Assistance Offered
Job Number #176868 - Piscataway, New Jersey, United States
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
Role Summary
The AI Solution Engineer designs, builds, deploys, and supports secure, production-grade enterprise applications powered by LLMs and multi-agent architectures. The role combines modern front-end and back-end software engineering with practical experience integrating large language models, enterprise data, APIs, and business systems.
The engineer selects the implementation approach that best fits the problem and works across React, JavaScript/TypeScript, Python or Node.js, SQL, cloud services, APIs, AI frameworks, and shared enterprise services. The primary hiring bar is strong full-stack engineering, applied AI capability, sound technical judgment, and ownership of reliable production software.
Responsibilities
- Design, build, deploy, and support full-stack enterprise applications and workflows that use LLMs and agents to solve high-value business problems.
Translate product requirements and ambiguous user needs into scalable technical designs, implementation plans, and measurable outcomes.
Build responsive, accessible, intuitive user experiences using JavaScript/TypeScript, React, HTML/CSS, component frameworks, and modern web-development practices.
Develop back-end services, APIs, workflows, business logic, and data-access layers using Python, Node.js/TypeScript, SQL, REST, GraphQL, and cloud-native services.
Implement AI capabilities including prompt and context design, retrieval-augmented generation, semantic/vector search, tool/function calling, structured outputs, agents, and human-in-the-loop workflows.
Integrate applications with enterprise systems, databases, data platforms, identity providers, approved model endpoints, and shared AI platform services.
Create AI evaluation approaches for correctness, groundedness, safety, task completion, user experience, latency, and cost.
Apply secure engineering practices for authentication, authorization, least privilege, secrets, data privacy, auditability, and responsible AI.
Build automated unit, integration, end-to-end, performance, and AI-specific tests.
Implement deployment automation, monitoring, logs, traces, metrics, alerts, and support procedures for reliable production operation.
Create reusable components, services, connectors, patterns, and documentation that improve delivery speed and engineering consistency.
Measure application adoption, quality, reliability, user satisfaction, and business value; use the results to improve the product.
Partner with the Product Manager, designers, architects, business stakeholders, AI Platform Engineers, data teams, and security teams to refine requirements and solution designs.
Develop and review front-end code, back-end code, APIs, database queries, workflows, AI features, prompts, tool definitions, and integrations.
Prototype new experiences where uncertainty is high, then harden validated approaches for enterprise production use.
Write and maintain tests, evaluation datasets, documentation, architecture diagrams, runbooks, and support materials.
Participate in design reviews, code reviews, threat modeling, sprint planning, backlog refinement, releases, incident response, and retrospectives.
Monitor application health, model behavior, retrieval quality, latency, cost, usage, and failures; diagnose issues and prioritize improvements.
Address defects, security findings, performance problems, dependency updates, operational issues, and technical debt.
Evaluate new application and AI technologies against user needs and enterprise engineering standards.
Required Qualifications
Bachelor’s degree in computer science, software engineering, information systems, data science, artificial intelligence, or a related technical field; or equivalent practical experience.
4+ years of professional software engineering experience, with demonstrated full-stack application development and production support.
Preferred Qualifications
Relevant cloud, software engineering, security, data, or AI certifications are beneficial but not required.
Demonstrated experience delivering business-facing applications from technical design through deployment and ongoing operation.
Strong JavaScript/TypeScript, React, HTML/CSS, Python or Node.js, SQL, and web-application engineering skills.
Strong knowledge of REST/GraphQL APIs, JSON, webhooks, asynchronous workflows, data modeling, and enterprise integration patterns.
Working knowledge of LLM APIs, prompt/context engineering, RAG, embeddings, vector search, tool/function calling, agents, structured outputs, evaluations, and guardrails.
Hands-on experience with JavaScript/TypeScript and React or a comparable modern front-end framework.
Hands-on experience with at least one back-end language, preferably Python along with SQL and API development.
Experience integrating applications with relational or document databases, cloud services, authentication systems, and enterprise APIs.
Experience with an AI application or agent orchestration framework, such as LangGraph, Google ADK, Semantic Kernel, or an equivalent technology, is preferred.
Practical experience building with LLMs or other AI services, including one or more of prompt engineering, RAG, vector databases, agents, tool calling, evaluation, or model monitoring.
Experience with Git, CI/CD, automated testing, observability, secure development, and production troubleshooting.
Compensation and Benefits
Salary Range $110,000.00 - $155,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
For additional Colgate terms and conditions, please click here.
#LI-Hybrid
No Relocation Assistance Offered
Job Number #176868 - Piscataway, New Jersey, United States
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
Role Summary
The AI Solution Engineer designs, builds, deploys, and supports secure, production-grade enterprise applications powered by LLMs and multi-agent architectures. The role combines modern front-end and back-end software engineering with practical experience integrating large language models, enterprise data, APIs, and business systems.
The engineer selects the implementation approach that best fits the problem and works across React, JavaScript/TypeScript, Python or Node.js, SQL, cloud services, APIs, AI frameworks, and shared enterprise services. The primary hiring bar is strong full-stack engineering, applied AI capability, sound technical judgment, and ownership of reliable production software.
Responsibilities
- Design, build, deploy, and support full-stack enterprise applications and workflows that use LLMs and agents to solve high-value business problems.
Translate product requirements and ambiguous user needs into scalable technical designs, implementation plans, and measurable outcomes.
Build responsive, accessible, intuitive user experiences using JavaScript/TypeScript, React, HTML/CSS, component frameworks, and modern web-development practices.
Develop back-end services, APIs, workflows, business logic, and data-access layers using Python, Node.js/TypeScript, SQL, REST, GraphQL, and cloud-native services.
Implement AI capabilities including prompt and context design, retrieval-augmented generation, semantic/vector search, tool/function calling, structured outputs, agents, and human-in-the-loop workflows.
Integrate applications with enterprise systems, databases, data platforms, identity providers, approved model endpoints, and shared AI platform services.
Create AI evaluation approaches for correctness, groundedness, safety, task completion, user experience, latency, and cost.
Apply secure engineering practices for authentication, authorization, least privilege, secrets, data privacy, auditability, and responsible AI.
Build automated unit, integration, end-to-end, performance, and AI-specific tests.
Implement deployment automation, monitoring, logs, traces, metrics, alerts, and support procedures for reliable production operation.
Create reusable components, services, connectors, patterns, and documentation that improve delivery speed and engineering consistency.
Measure application adoption, quality, reliability, user satisfaction, and business value; use the results to improve the product.
Partner with the Product Manager, designers, architects, business stakeholders, AI Platform Engineers, data teams, and security teams to refine requirements and solution designs.
Develop and review front-end code, back-end code, APIs, database queries, workflows, AI features, prompts, tool definitions, and integrations.
Prototype new experiences where uncertainty is high, then harden validated approaches for enterprise production use.
Write and maintain tests, evaluation datasets, documentation, architecture diagrams, runbooks, and support materials.
Participate in design reviews, code reviews, threat modeling, sprint planning, backlog refinement, releases, incident response, and retrospectives.
Monitor application health, model behavior, retrieval quality, latency, cost, usage, and failures; diagnose issues and prioritize improvements.
Address defects, security findings, performance problems, dependency updates, operational issues, and technical debt.
Evaluate new application and AI technologies against user needs and enterprise engineering standards.
Required Qualifications
Bachelor’s degree in computer science, software engineering, information systems, data science, artificial intelligence, or a related technical field; or equivalent practical experience.
4+ years of professional software engineering experience, with demonstrated full-stack application development and production support.
Preferred Qualifications
Relevant cloud, software engineering, security, data, or AI certifications are beneficial but not required.
Demonstrated experience delivering business-facing applications from technical design through deployment and ongoing operation.
Strong JavaScript/TypeScript, React, HTML/CSS, Python or Node.js, SQL, and web-application engineering skills.
Strong knowledge of REST/GraphQL APIs, JSON, webhooks, asynchronous workflows, data modeling, and enterprise integration patterns.
Working knowledge of LLM APIs, prompt/context engineering, RAG, embeddings, vector search, tool/function calling, agents, structured outputs, evaluations, and guardrails.
Hands-on experience with JavaScript/TypeScript and React or a comparable modern front-end framework.
Hands-on experience with at least one back-end language, preferably Python along with SQL and API development.
Experience integrating applications with relational or document databases, cloud services, authentication systems, and enterprise APIs.
Experience with an AI application or agent orchestration framework, such as LangGraph, Google ADK, Semantic Kernel, or an equivalent technology, is preferred.
Practical experience building with LLMs or other AI services, including one or more of prompt engineering, RAG, vector databases, agents, tool calling, evaluation, or model monitoring.
Experience with Git, CI/CD, automated testing, observability, secure development, and production troubleshooting.
Compensation and Benefits
Salary Range $110,000.00 - $155,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
For additional Colgate terms and conditions, please click here.
#LI-Hybrid
See All 10 Solution Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Solution Engineer JobsSolution Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Solution Engineer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Chemicals & Materials
- Consulting & Professional Services
What New Jersey Employers Look For
The qualifications that appear most often in solution engineer jobs across New Jersey.
- Bachelor's degree in computer science, engineering, information technology, or a related technical field
- Demonstrated experience with enterprise software platforms such as Salesforce, SAP, or AWS
- Ability to translate complex technical concepts into clear business value for non-technical stakeholders
- Hands-on experience conducting product demonstrations, proofs of concept, or technical discovery sessions
- Strong collaboration skills working alongside sales, product, and engineering teams throughout deal cycles
- Industry certifications such as AWS Solutions Architect, Salesforce Certified Technical Architect, or equivalent credentials
Solution Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become a solution engineer in New Jersey?
A bachelor's degree in computer science, information technology, or engineering is the most common starting point for solution engineers in New Jersey. The role carries no state-issued license or registration requirement. Most New Jersey employers expect hands-on experience with one or more enterprise platforms, so candidates strengthen their candidacy through vendor certifications from providers like AWS, Microsoft, or Salesforce and by building a portfolio of technical demonstrations or integration projects.
How much do solution engineers make in New Jersey?
Solution engineers in New Jersey earn a median of about $139,010 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $91,370 for the lowest 10% to over $191,050 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire solution engineers in New Jersey?
Employers hiring solution engineers in New Jersey right now include BNY, Colgate-Palmolive, and MUFG, based on current listings on Migrate Mate as of November 2026. New Jersey's dense concentration of Fortune 500 headquarters, financial services firms, and life sciences companies means demand remains consistent across multiple industries throughout the year.
Which New Jersey cities have the most solution engineer jobs?
Jersey City, Piscataway, and Princeton account for the largest share of solution engineer openings in New Jersey. Newark and Jersey City draw volume from financial services, insurance, and enterprise technology firms anchored in the New York metro corridor, while Parsippany serves as a hub for pharmaceutical, professional services, and IT consulting companies with large regional offices in Morris County.
Are there remote solution engineer jobs in New Jersey?
Yes, and more than many technical roles. Solution engineers frequently work with distributed sales teams and remote clients, making the function well suited to flexible arrangements. About 86% of solution engineer openings tied to New Jersey are remote or hybrid as of November 2026, reflecting the role's reliance on virtual demos and video-based discovery calls. Pre-sales and post-sales advisory work tends to be the most remote-friendly portion of the job.
How can I get hired as a solution engineer in New Jersey with little or no experience?
The most realistic entry path is moving from a technical support, implementation, or business analyst role at a software or enterprise technology company. Large New Jersey-based employers in the IT consulting and SaaS space regularly hire associate solution engineers or sales engineer graduates from their internal rotational programs. Earning a foundational cloud or CRM certification, building a demo environment on a free developer tier, and applying to pre-sales associate or junior solutions consultant postings gives candidates without direct experience a concrete edge.
Where can I find and apply to solution engineer jobs in New Jersey?
You can find and apply to solution engineer jobs in New Jersey on Migrate Mate, which lists current New Jersey openings updated regularly. Search the available roles, identify the ones that match your background and target industry, and apply directly to the postings that fit.
See All 10 Solution Engineer Jobs in New Jersey
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