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Ai Integration Engineer Jobs in Gilbert, AZ (NOW HIRING)

BizTech Staffing

API Integration Engineer

Phoenix, AZ · On-site

$103K - $139K/yr

Eg/ Angular Python C Sharp and AI experience. * Location: PHX Hangar *No opportunity to convert ... integrate with. * The team environment is team and people focused. * Everyone is a developer in ...

ClifyX

AI Prompt Engineer

Chandler, AZ · On-site

... Integrate copilots with enterprise APIs, workflows, and data sources. • Implement responsible AI ... of prompt engineering frameworks and design patterns. • Hands-on experience with RAG ...

Confiz Limited

Principal AI Engineer

Phoenix, AZ · On-site

$180 - $230/hr

Architect full-stack solutions that integrate AI models into web/enterprise applications ... Collaborate with data engineers, ML engineers, full-stack developers, and product owners to ...

AIAEC LLC

Senior Python Backend Engineer

Phoenix, AZ · On-site

AI Integration: Collaborate with ML engineers to deploy and scale AI models, specifically focusing on RAG (Retrieval-Augmented Generation) workflows. ? Infrastructure & DevOps: Own the lifecycle of ...

Deloitte

AI Engineer Consultant

Tempe, AZ · Hybrid

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

State Farm

Lead GenAI Engineer (LLM)

Tempe, AZ · Hybrid

$98K - $129K/yr

Build AI-Integrated APIs -- Develop and maintain robust APIs (REST, FastAPI, etc.) serving as the backbone for AI applications, orchestration, and downstream consumers * Engineer Data & Analytics ...

EMCOR Group, Inc.

AI Security Engineer

Phoenix, AZ · On-site

$134 - $171/hr

Job Summary EMCOR Group, Inc. seeks an AI Security Engineer who will be responsible for securing ... Conduct threat modeling for AI systems and integrations and translate threats into technical ...

Intel

IP Enablement Application Engineer

Phoenix, AZ · On-site

With a focus on scalability, AI advancement, and shaping the future, we provide an unparalleled ... Key Responsibilities IP Integration & Customer Support * Provide comprehensive technical support to ...

Deloitte

Google AI Architect

Tempe, AZ

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

Deloitte

Google AI Architect

Gilbert, AZ

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

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All JobsAi Integration Engineer JobsAi Integration Engineer Jobs in Gilbert, AZ

Ai Integration Engineer information

See Gilbert, AZ salary details

$44.4K

$123.9K

$173K

How much do ai integration engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for ai integration engineer in Gilbert, AZ is $123,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,700.00 and $139,600.00 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.

What job categories do people searching Ai Integration Engineer jobs in Gilbert, AZ look for?

The top searched job categories for Ai Integration Engineer jobs in Gilbert, AZ are:

What cities near Gilbert, AZ are hiring for Ai Integration Engineer jobs?

Cities near Gilbert, AZ with the most Ai Integration Engineer job openings:

Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in Gilbert, AZ as of August 2026, with employment types broken down into 75% Full Time, 19% Part Time, and 6% Contract. Highlights an 65% Physical, 6% Hybrid, and 29% Remote job distribution, with an average salary of $123,909 per year, or $59.6 per hour.

API Integration Engineer

BizTech Staffing

Phoenix, AZ • On-site

$103K - $139K/yr

Other

Posted 6 days ago

Job description

Job Description:

  • 3-5 years of experience required Posting is for 2 positions Candidate will be working on system integrations developing front end and APIs to ensure integrations.
  • The tech stack that will be used will focus on Angular and a mix of NodeJS Python and C# for the APIs.

 Top 3 Must Have Skills:

  • Software skills applicable development experience professional references. Eg/ Angular Python C Sharp and AI experience.
  • Location: PHX Hangar *No opportunity to convert *The contract is for 18 months
  • A great candidate will be able to pass the coding and cultural fit examples.
  • In our interview process we work to see how candidates respond to different scenarios since our squad has a large mix of technologies that we have to integrate with.
  • The team environment is team and people focused.
  • Everyone is a developer in some capacity.
  • The leaders the manager and product technical lead drive standards and expectations.

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