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Ai Integration Engineer Jobs (NOW HIRING)

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

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

Des Moines, IA · 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

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

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 ...

Peraton

Senior AI Integration Developer

Red Bank, NJ · On-site

$112 - $179/hr

Responsibilities Peraton Labs is seeking a Senior AI Integration Developer to lead the design and implementation of an AI assistant capability within an existing web application in support of RF ...

ASM Research

AI Integration Specialist

Washington, DC · On-site

The AI Integration Specialist is a pivotal role bridging the gap between cutting-edge AI/ML ... Collaborate with software engineers and DevOps teams to establish robust CI/CD pipelines for AI/ML ...

Abbott

Sr. AI Integration Analyst

Madison, WI

$78K - $156K/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 ...

Abbott

Sr. AI Integration Analyst

Madison, WI · On-site

$78K - $156K/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 ...

Peraton

Senior AI Integration Developer

Red Bank, NJ · On-site

Responsibilities Peraton Labs is seeking a Senior AI Integration Developer to lead the design and implementation of an AI assistant capability within an existing web application in support of RF ...

Peraton

Senior AI Integration Developer

Red Bank, NJ · On-site

$112K - $179K/yr

Responsibilities Peraton Labs is seeking a Senior AI Integration Developer to lead the design and implementation of an AI assistant capability within an existing web application in support of RF ...

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Ai Integration Engineer information

See salary details

$44.5K

$124.3K

$173.5K

How much do ai integration engineer jobs pay per year?

As of Aug 26, 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 an AI integration engineer?

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.

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 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.

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.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.
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Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $124,275 per year, or $59.7 per hour.

Sr. AI Integration Engineer

Lightedge

Austin, TX • Hybrid

Full-time

Re-posted 15 hours 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.