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Ai Integration Specialist Jobs (NOW HIRING)

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 ...

System One

Integration Specialist

Atlanta, GA · On-site

$114K/yr

Integration Specialist Location: Hybrid Atlanta, GA Work Authorization: U.S. Citizen or Legal ... In this role, you'll evaluate emerging AI capabilities (including generative AI), build practical ...

Phase2 Technology

$112.80 - $257/hr

AI Integration Engineer The Opportunity We are seeking a highly motivated AI Integration Engineer ... NVIDIA Certifications such as the NVIDIA Certified Advanced GPU Infrastructure Specialist ...

Prescient Edge

Data Integration Specialist

Doral, FL · On-site

Job Title Data Integration Specialist Location Doral, FL 33122 US (Primary) Category Intelligence ... Shall coordinate with the AI/ML Engineer to ensure data transformations meet model training and ...

RainFocus

Integration Specialist (Remote)

Lehi, UT · On-site +1

Integrations Specialists will also support Single Sign On through client's web sites. Primary ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Ai Integration Specialist information

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How much do ai integration specialist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for ai integration specialist in the United States is $91,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $121,000.00 per year, depending on experience, location, and employer.

What is an AI integration specialist?

An AI Integration Specialist is responsible for implementing and managing AI solutions within an organization's existing systems and workflows. They analyze business needs, identify suitable AI tools, and ensure seamless integration with minimal disruption. Their role often involves collaborating with data scientists, engineers, and business leaders to optimize AI performance. Additionally, they provide training and support to ensure effective adoption and maximize the benefits of AI technologies.

What skills and qualifications are needed to be an AI integration specialist?

To thrive as an AI Integration Specialist, you typically need a background in computer science or engineering, with expertise in machine learning, software development, and data integration. Familiarity with AI frameworks (such as TensorFlow or PyTorch), API management tools, cloud platforms, and a certification in relevant technologies (like AWS Certified Machine Learning) are often required. Strong problem-solving abilities, project management, and excellent communication skills help streamline cross-functional collaboration. These competencies ensure successful deployment and ongoing optimization of AI solutions within complex enterprise environments.

What are common challenges faced by AI integration specialists in their day-to-day work?

AI Integration Specialists often encounter challenges such as aligning AI solutions with legacy systems, handling large-scale data migration, and ensuring robust model performance in diverse environments. They regularly troubleshoot compatibility issues between platforms, manage stakeholder expectations, and work to bridge the gap between technical teams and business leaders. Staying current with rapidly evolving AI technologies and industry standards is also a key part of the role. These challenges require adaptability, continuous learning, and strong communication to drive successful AI adoption within organizations.

How much does an AI integration specialist make?

An AI integration specialist typically earns between $70,000 and $130,000 annually, depending on experience, location, and industry. Professionals with skills in machine learning, programming, and cloud platforms tend to have higher salaries, especially in tech hubs or large organizations.

How to become an AI Integration Specialist with no experience?

To become an AI Integration Specialist with no experience, start by gaining foundational knowledge in programming languages like Python and understanding AI concepts such as machine learning and APIs. Pursuing online courses, certifications, or tutorials in AI tools and integration platforms can build relevant skills, and gaining hands-on experience through projects or internships can improve employability in this role.
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Ai Integration Specialist jobs near you
Infographic showing various Ai Integration Specialist job openings in the United States as of August 2026, with employment types broken down into 81% Full Time, 4% Part Time, 2% Temporary, and 13% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $91,617 per year, or $44 per hour.

AI Integration Specialist

Precision of New Hampton

New Hampton, IA

Full-time

Medical, Retirement

Re-posted 6 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.

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