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Entry Level Ai Engineer Jobs in Edison, NJ (NOW HIRING)

Trovy

Design Engineer

New York, NY · On-site

$110K - $125K/yr

This is an entry-level role for someone early in their career who has design training and good ... AI tools like Claude will be your primary way of getting from design intent to working code, and ...

Pwc

AIT - AI Data Scientist Senior Associate

New York, NY · On-site

$72K - $212K/yr

... Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Ramp

Software Engineer, Core Product

New York, NY · On-site

$168K - $275K/yr

... engineer on this team, you'll work across product surfaces that are central to Ramp's success ... Integrate with Ramp's internal AI platform to automate spend policy enforcement and anomaly ...

Ramp

Software Engineer, Onboarding

New York, NY · On-site

$168K - $275K/yr

As an engineer here, you'll own workstreams that expand Ramp's total serviceable market and improve ... Scale the output of our application decisioning ops team through automation and AI assistance

Sogeti

Entry Level Technology Consultant

New York, NY · On-site

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... quality engineering, cloud and application development, all driven by AI, data and automation.

IBM

Data Engineer Intern 2027

New York, NY · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global ...

IBM

Data Engineer Intern 2027

New York, NY

... entry-level positions. You'll receive a status update email for each application, so be sure to ... etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global ...

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Entry Level Ai Engineer information

See Edison, NJ salary details

$30.4K

$70.3K

$119.7K

How much do entry level ai engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for entry level ai engineer in Edison, NJ is $70,342.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,200.00 and $79,600.00 per year, depending on experience, location, and employer.

What does an entry level AI engineer do?

An Entry Level AI Engineer assists in designing, developing, and deploying artificial intelligence models and systems under the guidance of senior engineers. Their tasks often include collecting and preprocessing data, implementing machine learning algorithms, and testing models to ensure accuracy and efficiency. They also collaborate with software developers and data scientists to integrate AI solutions into products or services, all while continuing to learn and develop their technical skills on the job.

What types of projects do entry level AI engineers typically work on, and how do they contribute to larger team goals?

Entry-level AI engineers often start by assisting with data preprocessing, building and testing machine learning models, and supporting the deployment of AI solutions. They may also help maintain existing models, write scripts to automate workflows, and contribute to documentation. These tasks are crucial for larger team projects, as they ensure data quality and provide foundational components for more advanced AI systems. Collaboration with data scientists, software engineers, and product managers is common, offering valuable exposure to cross-functional teamwork and opportunities for skill development.

What are the key skills and qualifications needed to thrive as an entry level AI engineer, and why are they important?

To thrive as an Entry Level AI Engineer, you need a solid background in computer science, mathematics (especially linear algebra and statistics), and programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and sometimes entry-level certifications in AI or data science is valuable. Strong problem-solving abilities, eagerness to learn, and teamwork skills help you stand out in this collaborative and evolving field. These skills and qualities are crucial to effectively develop AI models, adapt to new technologies, and contribute meaningfully to innovative projects.

Can you be an entry level AI engineer with no experience?

Entry level AI engineer positions often require some foundational knowledge of programming, machine learning concepts, and relevant tools like Python or TensorFlow. While prior experience is not always mandatory, demonstrating skills through projects, certifications, or coursework can improve chances of securing an entry level role.

Is AI taking entry level AI engineering jobs?

Entry level AI engineering jobs are growing as demand for AI skills increases, but competition remains high. Success in these roles typically requires knowledge of programming languages like Python, familiarity with machine learning frameworks, and a strong foundation in mathematics. Entry-level positions often focus on data preprocessing, model training, and assisting senior engineers.

Is an entry level AI engineer an entry-level job?

An entry-level AI engineer position is typically considered an entry-level job, suitable for candidates with limited professional experience in AI, machine learning, or related fields. These roles often require foundational skills in programming, data analysis, and basic understanding of AI tools and frameworks. They are designed to provide on-the-job training and skill development for newcomers to the field.

What are the most commonly searched types of Ai Engineer jobs in Edison, NJ?

The most popular types of Ai Engineer jobs in Edison, NJ are:

What are popular job titles related to Entry Level Ai Engineer jobs in Edison, NJ?

For Entry Level Ai Engineer jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Engineer jobs in Edison, NJ look for?

The top searched job categories for Entry Level Ai Engineer jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Entry Level Ai Engineer jobs?

Cities near Edison, NJ with the most Entry Level Ai Engineer job openings:

Entry Level Ai Engineer jobs near you
Infographic showing various Entry Level Ai Engineer job openings in Edison, NJ as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $70,342 per year, or $33.8 per hour.

Campus Graduate Masters Full-Time Engineer - 2027 Software Engineer II, Enterprise Technology Ser...

American Express

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New

American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

25th of 154 rated financial services

Job description

At American Express, we empower technologists to learn, innovate, and make an impact from day one. As a Software Engineer in the full-time Technology Graduate Program, you'll join a 12-month technical and leadership development experience while contributing as a full-time colleague on an Enterprise Technology Services team. You'll build software, collaborate with Agile teams, and help deliver secure, reliable, customer-first technology that supports the future of payments.  

About the Team 

Enterprise Technology Services teams build, operate, and modernize the technology that helps American Express deliver trusted, secure, and customer-first products and services. Software Engineers may support teams across backend engineering, frontend engineering, cloud engineering, mobile, AI/ machine learning, data-oriented engineering, infrastructure-adjacent engineering, or full-stack product development. You will design, code, test, improve, and support applications and services that help customers, colleagues, and partners get work done reliably and securely. 

What Type Of Work Can You Expect? 

  • Develop, test, and improve software applications as part of an Agile scrum team. 
  • Write clean, maintainable code; participate in code reviews; and create unit tests with guidance from experienced engineers. 
  • Identify opportunities to apply new technologies, automation, and engineering practices to solve real business challenges. 
  • Partner with Product Managers, Senior Engineers, Quality Engineers, Architects, and business partners to understand requirements, prioritize features, and deliver value. 
  • Work across different parts of the technology stack, such as APIs, services, microservices, user interfaces, mobile experiences, cloud platforms, or data-driven solutions. 
  • Explore responsible use of AI-powered developer tools, machine learning concepts, and intelligent automation relevant to your team's work. 
  • Participate in graduate program learning, mentorship, networking, community, and career-development experiences while building your full-time career at American Express. 

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

  • Competitive base salaries
  • Bonus incentives
  • 6% Company Match on retirement savings plan
  • Free financial coaching and financial well-being support
  • Comprehensive medical, dental, vision, life insurance, and disability benefits
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counseling support through our Healthy Minds program
  • Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

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The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

Minimum Qualifications 

  • Must have earned a Master's degree in Computer Science, Computer Engineering, Software Engineering, or another technical field before the full-time start date. 
  • Students must have a graduation date between December 2026 and June 2027 
  • Experience developing products or projects in an academic, personal, internship, research, open-source, hackathon, or professional setting. 
  • Exposure to backend engineering, frontend engineering, cloud engineering, mobile engineering, AI / machine learning, data engineering, API development, or full-stack product development. 
  • Familiarity with Java, JavaScript, React, TypeScript, Python, C#, Go, Kotlin, Node.js, REST APIs, SQL, Spring, or similar frameworks and tools. 
  • Exposure to cloud-native development, microservices, containerization, CI/CD, DevOps, automated testing, accessibility, or secure software development concepts. 
  • Interest in AI-powered development tools, generative AI, intelligent automation, responsible AI, or machine learning fundamentals. 

Preferred Qualifications 

  • Programming experience through coursework, projects, research, internships, open-source contributions, hackathons, or extracurricular activities using one or more languages such as Java, JavaScript, Python, C#, Go, Kotlin, Node.js, or similar technologies. 
  • Interest in building software applications across web, mobile, backend, cloud, API, microservices, or full-stack environments. 
  • Exposure to software development across backend, frontend, cloud, mobile, API, data, or full-stack environments. 
  • Exposure to advanced AI software engineering concepts such as LLM integrations, prompt engineering, prompt evaluation, embeddings, retrieval-augmented generation, vector search, AI agents, agentic workflows, or human-in-the-loop review. 
  • Familiarity with building or integrating AI-enabled applications using APIs, data pipelines, model inference endpoints, evaluation workflows, or cloud-based AI services. 
  • Awareness of responsible AI practices, including model reliability, explainability, privacy, security, governance, bias mitigation, guardrails, and validation of AI-generated outputs. 
  • Experience with modern software development practices such as version control, testing, code reviews, Agile methodologies, and collaborative development. 
  • Curiosity for emerging technologies, including artificial intelligence, machine learning, developer productivity tooling, automation, and responsible AI practices. 
  • Strong communication, teamwork, collaboration, learning agility, and the ability to learn emerging technologies 

Technology Areas and Preferred Skills 

American Express software engineers may be aligned to different technology teams based on business needs, project requirements, and individual strengths. Experience in one or more of the following areas is beneficial: 

  • Back-End Engineering: Java, Python, Go, APIs, microservices, distributed systems, Big Data, or data-oriented engineering concepts. 
  • Front-End Engineering: JavaScript, React, TypeScript, REST APIs, accessibility, and user experience principles. 
  • Cloud Engineering: Cloud-native development, microservices, CI/CD, containerization, DevOps practices, and infrastructure-aware engineering. 
  • AI & Machine Learning Engineering: Python, Java, machine learning fundamentals, AI-powered developer tools, data processing, automation, responsible AI concepts, and agentic workflow awareness. 
  • Mobile Engineering: Swift, Kotlin, API integration, mobile testing frameworks, mobile architecture, and UI/UX fundamentals. 
  • Core Skills Across All Areas: Problem solving, computer science fundamentals, communication, collaboration, curiosity, secure engineering, and a growth mindset. 

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions. 

What You'll Learn 

  • How software is built and delivered "the Amex Way," including structured onboarding, developer bootcamp concepts, code quality, testing, and secure engineering practices. 
  • How Product, Engineering, Quality, Security, and business partners collaborate from idea to production. 
  • How to translate customer or business needs into technical solutions while balancing quality, resilience, usability, and risk. 
  • How to communicate progress, ask effective questions, and share technical work with both technical and non-technical partners. 
  • How to grow through mentorship, feedback, technical learning, leadership exposure, and a strong graduate cohort community. 

What American Express employees say

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