ZipRecruiter

Log In

1

Ai Integration Jobs (NOW HIRING)

The LaSalle Group

AI Integration Engineer

Park Ridge, IL · On-site

$50 - $60/hr

The AI Integration Engineer is a hands on technical role responsible for building, configuring, and deploying the AI solutions and integrations that power an enterprise technology capability. This ...

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 research and robust, scalable production systems. This individual possesses a deep understanding of data ...

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 research and robust, scalable production systems. This individual possesses a deep understanding of data ...

Fracht USA

AI INTEGRATION ENGINEER

Houston, TX · On-site

$89K - $121K/yr

POSITION OVERVIEW The AI Integration Engineer is responsible for designing, building, and continuously improving AI-powered integration solutions across the organization. Working within the ...

Phase2 Technology

$112.80 - $257/hr

AI Integration Engineer The Opportunity We are seeking a highly motivated AI Integration Engineer to join our team and help design, deploy, and maintain the infrastructure that supports artificial ...

Citian

AI Integration Engineer

Washington, DC · On-site

$117K - $158K/yr

As an AI Integration Engineer, you will lead efforts incorporating AI into products, bridging civil engineering knowledge with practical AI implementation, while collaborating with cross-functional ...

Booz Allen Hamilton

AI Integration Engineer

Mclean, VA · On-site

$112K - $257K/yr

AI Integration Engineer The Opportunity: As an AI Engineer, you will integrate AI-enabled capabilities into existing software systems by connecting models, inference endpoints, and orchestration ...

Booz Allen Hamilton

AI Integration Engineer

Annapolis, MD · On-site

$112.80 - $257/hr

AI Integration Engineer As an AI Engineer, you will integrate AI-enabled capabilities into existing software systems by connecting models, inference endpoints, and orchestration components to ...

Plaud

AI Integration Engineer

San Francisco, CA · On-site

$140K - $276K/yr

Build the integration + auth layer - connect the core stack (Okta/Entra, Rippling, NetSuite, Slack, Notion) with automated, identity-driven provisioning. * Ship AI agents & automations - starting ...

Citian

AI Integration Engineer

Washington, DC

$117K - $158K/yr

As an AI Integration Engineer at Citian, you'll lead efforts incorporating AI into our products, bridging civil engineering domain knowledge with practical AI implementation. You will work alongside ...

Citian

AI Integration Engineer

Washington, DC · On-site

$117K - $158K/yr

As an AI Integration Engineer at Citian, you'll lead efforts incorporating AI into our products, bridging civil engineering domain knowledge with practical AI implementation. You will work alongside ...

Citian

AI Integration Engineer

Washington, DC

$117K - $158K/yr

As an AI Integration Engineer at Citian, you'll lead efforts incorporating AI into our products, bridging civil engineering domain knowledge with practical AI implementation. You will work alongside ...

next page

Showing results 1-20

All JobsTechnology JobsAi Integration Jobs

Ai Integration information

See salary details

$21.5K

$118K

$171K

How much do ai integration jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ai integration in the United States is $117,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $146,500.00 per year, depending on experience, location, and employer.

What is AI integration?

AI integration refers to the process of incorporating artificial intelligence technologies into existing systems, applications, or business processes to enhance automation, improve decision-making, and optimize performance. This can involve connecting AI models, such as machine learning algorithms or natural language processing tools, with software platforms, databases, or workflows. The goal is to enable systems to analyze data, learn from patterns, and perform tasks that traditionally required human intelligence. AI integration can benefit a wide range of industries, including healthcare, finance, manufacturing, and customer service.

What are some common challenges faced when integrating AI solutions into existing business processes?

One of the most common challenges in AI integration is ensuring that new AI tools seamlessly interact with legacy systems and data formats. Team members often need to address data quality issues, adapt workflows, and manage stakeholder expectations regarding the capabilities and limitations of AI. Collaboration with IT, operations, and business units is essential to customize solutions and ensure user adoption. Additionally, ongoing monitoring and retraining of AI models is necessary to maintain performance and align with evolving business goals.

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

To excel as an AI Integration Specialist, you need a solid background in computer science, proficiency in programming languages (such as Python), and experience with machine learning frameworks, often supported by a relevant degree or certifications. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), APIs, and integration tools is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams make someone stand out in this role. These competencies are crucial for successfully implementing AI solutions that align with business needs and ensuring seamless system interoperability.

What is the difference between Ai Integration vs Data Analyst?

AspectAi IntegrationData Analyst
Required CredentialsBachelor's in Computer Science, Engineering, or related fields; knowledge of AI/ML toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI development teams, software firmsBusiness, finance, healthcare, and other industries analyzing data
Employer & Industry UsageDeveloping AI solutions, integrating AI into productsInterpreting data, generating reports, supporting decision-making

While Ai Integration specialists focus on implementing AI systems and integrating AI technologies into applications, Data Analysts interpret data to provide insights and support business decisions. Both roles require analytical skills, but Ai Integration emphasizes technical development and system integration, whereas Data Analysts focus on data interpretation and reporting.

How to get into AI integration?

To pursue a career in AI integration, develop skills in programming languages like Python, understand machine learning frameworks, and gain experience with AI tools and APIs. Earning relevant certifications and working on projects that demonstrate AI implementation can improve job prospects.
More about Ai Integration jobs

What cities are hiring for Ai Integration jobs?

Cities with the most Ai Integration job openings:

What states have the most Ai Integration jobs?

States with the most job openings for Ai Integration jobs include:

What job categories do people searching Ai Integration jobs look for?

The top searched job categories for Ai Integration jobs are:

Ai Integration jobs near you
Infographic showing various Ai Integration 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 $117,986 per year, or $56.7 per hour.

AI Integration Specialist

Precision of New Hampton

New Hampton, IA • On-site

Full-time

Medical, Retirement

Re-posted 26 days ago

Job description

--Must be legally authorized to work in the United States as a U.S. resident or through a permanent U.S. visa (e.g. Permanent Resident/Green Card.--

--Must Be Near or Relocate to New Hampton, IA--

Precision of New Hampton, an industry leader and a forward-thinking manufacturing company dedicated to enhancing operational efficiency and product quality through innovative technologies. We are seeking an AI Integration Specialist to drive the adoption of artificial intelligence solutions within our manufacturing processes.

The AI Integration Specialist will be responsible for designing, implementing, and managing AI-driven solutions to optimize manufacturing operations. This role involves collaborating with cross-functional teams to identify opportunities for AI integration, developing scalable AI models, and ensuring seamless deployment into existing systems. The ideal candidate is a proactive problem-solver with expertise in AI, machine learning, and manufacturing processes.

Key Responsibilities

  • Opportunity Identification: Analyze current manufacturing processes to identify areas where AI can improve efficiency, quality, or cost-effectiveness.
  • Solution Development: Design and develop AI models, including machine learning algorithms, predictive analytics, and computer vision systems, tailored to manufacturing needs.
  • Integration: Collaborate with engineering and IT teams to integrate AI solutions into existing manufacturing systems, such as automation tools, IoT devices, and ERP platforms.
  • Data Management: Collect, preprocess, and manage large datasets from manufacturing equipment and sensors to support AI model training.
  • Testing and Validation: Conduct rigorous testing to ensure AI solutions are reliable, accurate, and compatible with production environments.
  • Training and Support: Train staff on AI tools and provide ongoing support to ensure successful adoption and utilization.
  • Performance Monitoring: Monitor and optimize AI systems to maintain high performance and adapt to changing manufacturing requirements.
  • Compliance and Safety: Ensure AI implementations comply with industry regulations and safety standards.

Qualifications

  • Experience:
    • 3+ years of experience in AI or machine learning development.
    • 2+ years of experience in manufacturing or industrial environments.
    • Proven track record of integrating AI solutions into operational systems.
  • Technical Skills:
    • Proficiency in programming languages such as Python, R, or C++.
    • Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
    • Knowledge of manufacturing systems (e.g., SCADA, MES, PLCs).
    • Familiarity with IoT, robotics, or computer vision applications.
    • Strong understanding of data analytics and database management.
  • Soft Skills:
    • Excellent problem-solving and analytical skills.
    • Strong communication and collaboration abilities.
    • Ability to work in a fast-paced, dynamic environment.
  • Preferred Certifications: AI/ML certifications (e.g., Google Professional Machine Learning Engineer, AWS Certified Machine Learning).

Benefits

  • Competitive salary and performance-based bonuses.
  • Comprehensive health
  • 401(k) with company provided 6% annually
  • Professional development opportunities.

#hc250817