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Entry Level Artificial Intelligence Engineer Jobs

Artificial Intelligence (AI) Engineer

Dallas, TX · On-site

$104K - $126K/yr

Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, Data Science, Artificial Intelligence, or a related quantitative field. * 1-3 years of relevant experience, which ...

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Entry Level Artificial Intelligence Engineer information

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$30K

$69.4K

$118K

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

As of Jul 24, 2026, the average yearly pay for entry level artificial intelligence engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 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.

More about Entry Level Artificial Intelligence Engineer jobs
What cities are hiring for Entry Level Artificial Intelligence Engineer jobs? Cities with the most Entry Level Artificial Intelligence Engineer job openings:
What are the most commonly searched types of Artificial Intelligence Engineer jobs? The most popular types of Artificial Intelligence Engineer jobs are:
What states have the most Entry Level Artificial Intelligence Engineer jobs? States with the most job openings for Entry Level Artificial Intelligence Engineer jobs include:
Infographic showing various Entry Level Artificial Intelligence Engineer job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.
Artificial Intelligence Engineer II

$55.25 - $73.75/hr

Other

Posted 4 days ago


Blue Cross Blue Shield of Michigan rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

170th of 281 rated insurance


Job description

Departmental Summary:

The AI Engineer must have prior hands-on experience designing, building, and deploying Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI solutions within large-scale, big data environments. Proven experience delivering projects using Agile methodologies is a mandatory requirement.

Key Responsibilities

Design, develop, and implement end-to-end agentic AI systems that integrate: 

  • Large Language Models (LLMs)

  • Multi-agent orchestration frameworks

  • Enterprise-grade data pipelines

  • Business and operational applications

  • Deliver production-grade solutions that meet enterprise standards for reliability, scalability, performance, and maintainability.

Departmental Preferences:

Hands-on development experience with: 

  • Python, Python FastAPI Framework, Python Django

  • AWS Bedrock

  • AWS Bedrock Agent Core

  • AWS SageMaker Catalog

  • AWS SageMaker AI

  • AWS SageMaker Model Monitor

  • AWS SageMaker Studio

  • Vector Databases (AWS Postgres, Redshift, OpenSearch)

  • AWS DynamoDB

  • AWS S3 / S3 Vector

  • AWS Nova and Anthropic Claude Sonnet

  • Certified AWS AI Practitioner - Foundational

Work closely with clients, business analysts and team members on small to large, complex projects to understand the business requirements that drive the analysis and design of quality technical solutions that align with business and IT strategies and are in compliance with the organization's architectural standards. Provide support in the full systems life cycle for multiple applications to ensure application software is delivered on time and within budget.

  • Code applications using a disciplined development process.
  • Integrate solutions with other applications and platforms outside the framework.
  • Create data extracts and reports from system based on requirements.
  • Develop, execute, and document unit test plans.
  • Support and/or execute all testing efforts across the life cycle.
  • Assist in the deployment of new modules, upgrades and fixes to the production environment. Make modules production-ready by moving them to libraries, completing forms and version control documents, following procedures, etc.
  • Validate deployment.
  • Assist in production support. 
  • Troubleshoot existing information systems to identify errors or deficiencies and develops solutions.
  • Provide ongoing maintenance of applications.
  • Evaluate existing applications and platforms and provides recommendations for improving application performance by conducting gap analysis, identifying feasible alternative solutions, and assisting in the scope of modifications. 
  • Document functions and changes to new or modified modules and test activities/results. 
  • Assist in the development of user guides and training documentation for systems.
  • Participate in project planning processes, as needed.
  • Identify better sources of data feeds and interfaces with architects to ensure their feasibility with corporate data warehouse, when needed. Identify technical requirements, as needed.
  • Create technical design specifications and assist in sizing technical requirements, as needed. Adhere to standards and procedures; check for compliance.
  • Review modules for quality assurance.  
  • Evaluate new application packages and tools and perform research on best practices and provide recommendations for solutions, as needed.
  • Prepare and present formal training to IT staff, as needed. 
  • Provide technical coaching and mentoring to less-experienced team members.
  • Other duties may be assigned.

"Qualifications"

EDUCATION AND/OR EXPERIENCE

  • Bachelor's degree in related field preferred.
  • Three (3) years of advanced programming techniques and application design required.
  • Experience in systems design and have a solid understanding of development, database development, testing, and integration methodologies required.
  • Project management experience preferred.

OTHER SKILLS AND ABILITIES

  • Analytical and systems thinking.
  • Accuracy and attention to detail.
  • Written and verbal communication skills.
  • Ability to work independently, or within a team environment.
  • Other related skills and/or abilities may be required to perform this job.
All qualified applicants will receive consideration for employment without regard to, among other grounds, race, color, religion, sex, national origin, sexual orientation, age, gender identity, protected veteran status or status as an individual with a disability.

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