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Entry Level Artificial Intelligence Engineer Jobs in Boca Raton, FL

About Actalent Actalent is a global leader in engineering and sciences services and talent ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

... artificial intelligence in practical, measurable, and business-focused ways. Through our AI-Proven ... Backed by The SilverLogic's engineering, automation, and software development expertise, BRDGIT ...

... artificial intelligence in practical, measurable, and business-focused ways. Through our AI-Proven ... Backed by The SilverLogics engineering, automation, and software development expertise, BRDGIT ...

... artificial intelligence in practical, measurable, and business-focused ways. Through our AI-Proven ... Backed by The SilverLogic's engineering, automation, and software development expertise, BRDGIT ...

Robotics Tutor

Fort Lauderdale, FL · Remote

$18 - $40/hr

Emphasizes iterative design and engineering problem-solving and connects robotics to mechanical engineering, computer science, and artificial intelligence applications. * Curriculum Awareness ...

Robotics Tutor

Sunrise, FL · Remote

$18 - $40/hr

Emphasizes iterative design and engineering problem-solving and connects robotics to mechanical engineering, computer science, and artificial intelligence applications. * Curriculum Awareness ...

Robotics Tutor

Cooper City, FL · Remote

$18 - $40/hr

Emphasizes iterative design and engineering problem-solving and connects robotics to mechanical engineering, computer science, and artificial intelligence applications. * Curriculum Awareness ...

Robotics Tutor

Miramar, FL · Remote

$18 - $40/hr

Emphasizes iterative design and engineering problem-solving and connects robotics to mechanical engineering, computer science, and artificial intelligence applications. * Curriculum Awareness ...

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

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Entry Level Artificial Intelligence Engineer information

See Boca Raton, FL salary details

$28.5K

$65.8K

$112K

How much do entry level artificial intelligence engineer jobs pay per year?

As of Jul 6, 2026, the average yearly pay for entry level artificial intelligence engineer in Boca Raton, FL is $65,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $74,500.00 per year, depending on experience, location, and employer.

How can I become an AI engineer with no experience?

To become an entry-level AI engineer with no experience, focus on building foundational skills in programming languages like Python, learn machine learning concepts, and complete online courses or certifications. Gaining hands-on experience through projects, internships, or contributing to open-source AI initiatives can also improve your prospects in this field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, research scientist, or executive roles, often involving advanced skills in machine learning, deep learning, and data analysis. These roles usually require extensive experience, specialized knowledge, and may include stock options or bonuses that contribute to the total compensation. Entry-level AI engineers generally do not earn this level of salary, which is more common among senior professionals or those in leadership positions.

What kind of projects or tasks do Entry Level Artificial Intelligence Engineers typically work on?

Entry Level Artificial Intelligence Engineers often assist with data collection and preprocessing, implement and test machine learning models, and support research or production teams in developing AI solutions. You may help analyze large datasets, tune model parameters, write scripts for automation, and contribute to code reviews or documentation. Collaboration is common, as you’ll often work closely with data scientists, senior AI engineers, and product managers to advance ongoing projects. These experiences provide a strong foundation for developing your technical skills and understanding how AI solutions are built and deployed in real business environments.

What are the key skills and qualifications needed to thrive in the Entry Level Artificial Intelligence Engineer position, and why are they important?

To thrive as an Entry Level Artificial Intelligence Engineer, you need a solid background in programming (especially Python), mathematics (linear algebra, statistics), and foundational machine learning concepts, often demonstrated through a relevant degree or project experience. Familiarity with key AI frameworks such as TensorFlow or PyTorch, version control systems like Git, and optionally certifications like Google’s TensorFlow Developer Certificate are valuable assets. Strong problem-solving skills, curiosity, and the ability to collaborate and communicate clearly within teams will help you stand out. These competencies are crucial for contributing effectively to real-world AI projects, learning on the job, and advancing in this rapidly evolving field.

How to get a job in artificial intelligence with no experience?

Entry-level artificial intelligence engineer roles often require foundational skills in programming, mathematics, and machine learning. Gaining experience through online courses, personal projects, internships, or certifications in tools like Python, TensorFlow, or PyTorch can improve your chances of securing such a position without prior work experience.

What are good entry-level AI jobs?

Entry-level AI jobs include roles such as AI analyst, data analyst, machine learning technician, and junior AI engineer. These positions typically require foundational knowledge of programming languages like Python, basic understanding of machine learning frameworks, and often an internship or certification in AI or data science. They provide opportunities to gain practical experience and develop skills in AI development and deployment.

What is an Entry Level Artificial Intelligence Engineer job?

An Entry Level Artificial Intelligence Engineer is responsible for developing AI models, writing algorithms, and working with data to build intelligent systems. They typically assist in training machine learning models, optimizing performance, and integrating AI solutions into applications. This role requires knowledge of programming languages like Python, machine learning frameworks, and data processing techniques. Entry-level AI engineers often collaborate with data scientists and software engineers to improve AI functionalities. Employers usually look for candidates with a degree in computer science, engineering, or a related field, along with hands-on experience in AI projects.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Boca Raton, FL? The most popular types of Artificial Intelligence Engineer jobs in Boca Raton, FL are:
What are popular job titles related to Entry Level Artificial Intelligence Engineer jobs in Boca Raton, FL? For Entry Level Artificial Intelligence Engineer jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Entry Level Artificial Intelligence Engineer jobs in Boca Raton, FL look for? The top searched job categories for Entry Level Artificial Intelligence Engineer jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Entry Level Artificial Intelligence Engineer jobs? Cities near Boca Raton, FL with the most Entry Level Artificial Intelligence Engineer job openings:
Sr AI Engineer I - Global Servicing Technology

Sr AI Engineer I - Global Servicing Technology

American Express

Sunrise, FL • Hybrid

$99K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago


American Express rating

8.5

Company rating: 8.5 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

25th of 146 rated financial services


Job description

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.

The Technology organization enables and accelerates the company's growth strategies, delivering global capabilities and services in support of Amex's customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.

Within this ecosystem, our team is building a best-in-class Case Management platform to service our customers using modern technology stack. The platform brings together engineering, product, and business teams to deliver scalable, connected capabilities that improve how customer Dispute & Fraud servicing is managed across the enterprise.

Artificial Intelligence is a key part of this transformation. From intelligent automation to advanced decision support, we are embedding AI into the Case Management platform while ensuring strong governance, reliability, and responsible use at enterprise scale. If you are interested in a career creating breakthrough software and making an impact on an audience of millions, look no further.

As a Sr. AI Engineer within the Case Management Platform team, you will play a key role in advancing AI-driven transformation across Dispute and Fraud Servicing at American Express. You will work at the intersection of data, AI, and platform modernization to build intelligent, scalable solutions that improve customer servicing, increase operational effectiveness, and support strong compliance and governance.

In this role, you will develop AI-powered capabilities that bring greater intelligence and automation to dispute and fraud servicing processes, from improving quality and compliance monitoring through automated, insight-driven systems to enabling faster, more informed case handling using connected and enriched enterprise data. You will also help build intelligent systems that unify and enhance servicing data, enabling better decisions and deeper business insights across the platform.

Alongside solution development, you will help shape enterprise-grade AI practices by contributing to scalable platforms, standardized approaches, and responsible AI adoption. This includes ensuring that AI solutions are built with strong governance, reliability, transparency, and security, supporting sustainable innovation and long-term business value within the Case Management Platform.

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.
  • 7+ years of experience in software engineering, machine learning, or applied AI, including building production systems.
  • Experience working with agentic AI systems, including orchestration, tools, memory/state management, and evaluation.
  • Experience with RAG, vector databases, and the full LLM lifecycle, including prompting, fine-tuning, evaluation, and monitoring.
  • Strong Python skills and experience building backend services, APIs, and data pipelines.
  • Hands-on experience with LLMs, GenAI, or applied machine learning in real-world products.
  • Experience with modern AI/ML frameworks such as LangChain, LangGraph, PyTorch, TensorFlow, or Scikit-learn.
  • Strong experience with Google Cloud Platform (GCP), including BigQuery, Composer (Airflow), DataProc, and similar services.
  • Experience designing and deploying scalable cloud-native solutions using modern engineering practices.
  • Good understanding of distributed systems, event-driven architecture, and large-scale data processing.
  • Strong problem-solving skills and the ability to turn business needs into technical solutions.
  • Able to work in a fast-paced, collaborative environment with strong ownership and accountability.

Preferred:

  • Experience with case management platforms and customer data systems.
  • Experience in regulated industries such as financial services, with knowledge of compliance, governance, and secure AI deployment.
  • Experience with distributed data technologies and container tools like Docker and Kubernetes.
  • Familiarity with AI governance, model risk management, and responsible AI.
  • Contributions to research, patents, or open-source projects in AI/ML or developer tools.
  • Advanced degree in Computer Science, Machine Learning, AI, or related technical field.
  • Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
     
  • Design and build scalable AI and agentic systems to improve customer engagement and the dispute and fraud servicing experience.
  • Build intelligent workflows that use context, enterprise data, and tools to support decisions in dispute and fraud servicing.
  • Design and deliver production-ready AI solutions, including LLM apps, RAG systems, and personalization features, with high accuracy, reliability, and auditability.
  • Use LLMs, GenAI, or applied machine learning to build and run large-scale AI solutions.
  • Improve operations with AI-based monitoring, quality checks, and governance through automation and analytics.
  • Build and support shared AI platforms, including agent orchestration, evaluation systems, and scalable model deployment pipelines.
  • Own end-to-end delivery, from problem definition and prototyping to deployment, monitoring, and ongoing improvement.
  • Work closely with product, engineering, and business teams to turn complex problems into effective AI solutions.
  • Ensure all AI systems meet enterprise standards for security, compliance, explainability, and responsible AI.

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