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Ai Integration Engineer Jobs (NOW HIRING)

Lightedge

Sr. AI Integration Engineer

Kansas City, MO · Hybrid

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Lightedge

Sr. AI Integration Engineer

Austin, TX · Hybrid

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Lightedge

Sr. AI Integration Engineer

Ashburn, VA · Hybrid

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Lightedge

Sr. AI Integration Engineer

Lenexa, KS · Hybrid

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Lightedge

Sr. AI Integration Engineer

Chicago, IL · Hybrid

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Lightedge

Sr. AI Integration Engineer

Chaska, MN · Hybrid

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Lightedge

Sr. AI Integration Engineer

Nashville, TN · Hybrid

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Exact Sciences

Senior AI Integration Analyst

Madison, WI · On-site

$91K - $155K/yr

The Sr. Integration Engineer works closely with the Automation Solutions Architect and cross-functional AI Strategy teams, partnering with the IT Integrations team on enterprise standards while ...

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Ai Integration Engineer information

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$44.5K

$124.3K

$173.5K

How much do ai integration engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for ai integration engineer in the United States is $124,275.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $140,000.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position such as an AI executive, senior machine learning engineer, or AI research director that offers a total compensation package including salary, bonuses, and stock options. These roles usually require advanced skills in AI, deep learning, and data science, along with extensive experience and often involve leadership responsibilities in innovative technology companies.

What are some common challenges faced by AI Integration Engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

What does an AI integration engineer do?

An AI integration engineer designs and implements systems that incorporate artificial intelligence into existing software or hardware platforms. They work with machine learning models, APIs, and data pipelines to ensure seamless integration, often using programming languages like Python and tools such as cloud services. Their role involves testing, troubleshooting, and optimizing AI components for reliable performance within broader applications.

What are the key skills and qualifications needed to thrive as an AI Integration Engineer, and why are they important?

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

Are AI engineers highly paid?

AI integration engineers are generally well-paid due to the high demand for expertise in artificial intelligence, machine learning, and data analysis. Salaries vary based on experience, location, and industry, but they tend to be above average compared to many other engineering roles. Advanced skills in programming, neural networks, and cloud platforms can further increase earning potential.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

What engineer makes 500,000 a year?

Highly experienced AI Integration Engineers working in senior or specialized roles at large technology companies can earn salaries approaching or exceeding $500,000 annually, especially when including bonuses and stock options. Such compensation typically requires advanced skills in machine learning, software development, and cloud platforms, along with extensive industry experience and a strong track record of successful projects.

What are AI Integration Engineers?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.
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Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $124,275 per year, or $59.7 per hour.
Sr. AI Integration Engineer

Sr. AI Integration Engineer

Lightedge

Kansas City, MO • Hybrid

Full-time

Posted 25 days ago

Job description

LightEdge Solutions is developing the IT solutions that will propel businesses forward over the next 10 years. Using a combination of shared and private/dedicated platforms, LightEdge has been successful in offering businesses alternatives that streamline operations, improve reliability and reduce costs.
If you are passionate about creating real solutions that help businesses with cutting-edge technology, want to be challenged to think out of the box and be in a position where you can impact change on a daily basis, then LightEdge can offer you a dynamic corporate environment built on teamwork and personal responsibility.
With over 20 years in business, LightEdge offers a full stack of best-in-class IT services delivering flexibility, security, and control. Our solutions include premier colocation across seven purpose-built data centers spanning Des Moines, IA, Kansas City, MO, Omaha, NE, Austin, TX, and Raleigh, NC, industry-leading private Infrastructure as a Service (IaaS) and cloud platforms, and the top global security and compliance measures. Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices make up a true Hybrid Cloud Solution Center. LightEdge annually undergoes third-party audits for ISO 20000-1, ISO 27001, HIPAA, PCI-DSS 3.2, and SSAE 18 SOC 1 Type II, SOC 2 Type II and SOC 3.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.