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Senior Artificial Intelligence Engineer Jobs (NOW HIRING)

KLA

Artificial Intelligence Engineer

Milpitas, CA · On-site

They are seeking an Artificial Intelligence Engineer to design, develop, and diagnose complex machine learning and deep learning algorithms for semiconductor inspection equipment. Responsibilities ...

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH

$111K - $133K/yr

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and contribute to the development of a robust AI-enabled solution. As an AI Engineer, you will be ...

Thales

Artificial Intelligence Space Engineer

Roma, TX · On-site

$89K - $107K/yr

They are seeking an Artificial Intelligence Engineer to design and develop AI components, work on machine learning and symbolic AI, and ensure data knowledge and traceability. Responsibilities : • ...

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Senior Artificial Intelligence Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior artificial intelligence engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for senior artificial intelligence engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Artificial Intelligence Engineer, and why are they important?

To thrive as a Senior Artificial Intelligence Engineer, you need advanced proficiency in machine learning, deep learning, programming languages like Python, and a strong foundation in mathematics and statistics, often backed by a degree in computer science or a related field. Experience with AI frameworks such as TensorFlow or PyTorch, cloud platforms like AWS or Azure, and certifications in AI or data science are typically expected. Effective communication, leadership, and problem-solving abilities are crucial soft skills for collaborating with cross-functional teams and mentoring junior engineers. These competencies ensure the successful design, implementation, and deployment of AI solutions that drive innovation and business value.

How do Senior Artificial Intelligence Engineers typically collaborate with cross-functional teams during a project?

Senior Artificial Intelligence Engineers often work closely with data scientists, software engineers, and product managers to design, develop, and deploy AI solutions. They may be responsible for translating business requirements into technical specifications, ensuring that AI models are scalable and reliable, and guiding junior engineers. Effective communication and an understanding of both the technical and business aspects are crucial, as these engineers often bridge the gap between complex AI concepts and practical applications for stakeholders.

What does a Senior Artificial Intelligence Engineer do?

A Senior Artificial Intelligence Engineer designs, develops, and implements advanced AI and machine learning models to solve complex business problems. They lead technical projects, mentor junior engineers, and collaborate with cross-functional teams to integrate AI solutions into products or services. Their responsibilities include data analysis, model selection, algorithm optimization, and ensuring the scalability and reliability of AI systems. With deep expertise in programming, mathematics, and data science, they play a crucial role in driving innovation and maintaining the competitiveness of their organization.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a senior artificial intelligence engineering position with a high compensation package, often including base salary, bonuses, and stock options. Such roles usually require advanced skills in machine learning, deep learning, and data science, along with extensive experience and leadership responsibilities.

Which 3 jobs will survive AI?

For a Senior Artificial Intelligence Engineer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, AI ethics specialist, and AI product manager. These positions involve strategic decision-making, ethical considerations, and interdisciplinary collaboration that are difficult to fully automate. Continuous learning and expertise in machine learning frameworks and programming languages like Python are essential for long-term relevance.

What engineers make $500,000?

Senior Artificial Intelligence Engineers can earn $500,000 or more annually, especially with extensive experience, specialized skills in machine learning and deep learning, and roles in high-paying industries like tech or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

How much do senior AI engineers make?

Senior AI engineers typically earn between $100,000 and $150,000 annually, with salaries increasing based on experience, location, and industry. Advanced skills in machine learning, deep learning, and proficiency with tools like Python and TensorFlow can influence compensation levels.
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Senior Artificial Intelligence Engineer jobs near you
Infographic showing various Senior Artificial Intelligence Engineer job openings in the United States as of June 2026, with employment types broken down into 61% Full Time, 33% Part Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Associate Artificial Intelligence Engineer

Associate Artificial Intelligence Engineer

Park Place Technologies

Highland Heights, OH • On-site

Full-time

Posted yesterday

Park Place Technologies rating

7.6

Company rating: 7.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

91st of 204 rated it services

Job description

Associate Artificial Intelligence Engineer

The Associate Artificial Intelligence Engineer is responsible for developing, implementing, and managing AI solutions and machine learning models that provide innovative, data-driven solutions to complex business challenges. This role will involve collaboration within and across multiple departments to build cutting-edge solutions that enhance decision-making capabilities and optimize business performance.

Responsibilities:

  • Understand business requirements, design, develop, and deploy scalable AI applications that aligned with business objectives.
  • Develop high-performing, reusable, and reliable code following industry standards and best practices.
  • Participate in all phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and support.
  • Build pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
  • Collaborate with data analysts, data engineers, software engineers, and business analysts to translate business requirements into technical solutions.
  • Employ Azure DevOps and Git to ensure proper version control and adherence to CI/CD best practices.
  • Troubleshoot, analyze, and resolve AI performance issues and production problems.
  • Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
  • Actively participate in team meetings, contributing ideas and insights to drive continuous improvement.
  • Demonstrate strong problem-solving skills, excellent work ethic, and proactive attitude.
  • Create necessary documentation relating to work produced.

Basic Qualifications:

  • Bachelor’s degree or higher in Computer Science, AI, Data Science, or a related field, or equivalent experience.
  • At least 1 year of hands-on experience developing and deploying AI/machine learning solutions.
  • Development experience with Python programming (Spark, pandas, etc.) and SQL.
  • Solid understanding of AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks
  • Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
  • Experience with Visual Studio, Git, and Azure DevOps.
  • Familiarity with software development fundamentals such as SOLID principles, ObjectOriented design, DRY, and Domain Driven Design.
  • Strong communication skills, both written and verbal.

Preferred Qualifications:

  • Knowledge of Vibe Coding and familiarity with cutting-edge industry trends.
  • Exposure to Agile methodologies and Test Driven Development (TDD).

Travel:

  • Less than 5%

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