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Ai Integration Jobs (NOW HIRING)

AI Integration Developer

Lemont, IL ยท On-site

$50.75 - $67.25/hr

AI Integration Developer Location: Hybrid at Lemont, IL (Between 20-40% of the time in Lemont, IL). Duration: 7 Months Only W2 candidates are eligible for this position. Third-party or C2C candidates ...

AI Integration Engineer

Boston, MA ยท On-site

$110K - $120K/yr

AI Integration Engineer At Real Chemistry, making the world a healthier place isn't just an aspiration--it's our everyday reality. Our drive to transform healthcare is informed by our blend of deep ...

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 ...

AI Integration Engineer

Chicago, IL ยท On-site

$110K - $120K/yr

AI Integration Engineer At Real Chemistry, making the world a healthier place isn't just an aspiration--it's our everyday reality. Our drive to transform healthcare is informed by our blend of deep ...

AI Integration Engineer

Annapolis, MD ยท On-site

$103K - $138K/yr

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 ...

AI Integration Engineer

Annapolis, MD ยท On-site

$103K - $138K/yr

McLean, Virginia, USA 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 ...

AI Integration Developer

Lemont, IL ยท On-site

$50.75 - $67.25/hr

AI Integration Developer Location: Hybrid at Lemont, IL (20% of the time in Lemont). Duration: 7 Months Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be ...

AI Integration Engineer

Mclean, VA

$105K - $141K/yr

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

AI Integration Engineer

Boston, MA ยท On-site +1

$110K - $120K/yr

AI Integration Engineer We're looking for an AI Integration Engineer to help shape how artificial intelligence transforms our systems, workflows, and decision-making. This is a hands-on, high-impact ...

AI Integration Developer

Lemont, IL ยท On-site

$50.75 - $67.25/hr

AI Integration Developer Location: Hybrid at Lemont, IL (Between 20-40% of the time in Lemont, IL). Duration: 7 Months Only W2 candidates are eligible for this position. Third-party or C2C candidates ...

AI Integration Specialist

San Carlos, CA ยท On-site +1

$40 - $45/hr

AI Integration Specialist (Part-Time | Project-Based | Fully remote) Trustpoint.One is pleased to be partnering with an innovative legal department in their search for an AI Integration Specialist to ...

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Ai Integration information

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$21.5K

$118K

$171K

How much do ai integration jobs pay per year?

As of Jul 7, 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 a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI solutions architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact on business or technology development.

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 is an AI integration job?

An AI integration job involves implementing artificial intelligence systems into existing software or workflows to improve functionality or automate processes. It requires skills in programming, data analysis, and understanding AI tools and platforms. Professionals in this role often collaborate with development teams and may need knowledge of machine learning, APIs, and cloud services.

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-focused environments.

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 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 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 become an AI integration specialist with no experience?

To become an AI integration specialist with no experience, start by learning foundational skills in programming languages like Python and understanding AI concepts such as machine learning and APIs. Gaining hands-on experience through online courses, tutorials, and small projects helps build practical skills, while certifications in AI or cloud platforms can enhance your credentials. Entry-level roles may require demonstrating problem-solving abilities and familiarity with AI tools and frameworks.
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:
Infographic showing various Ai Integration job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $117,986 per year, or $56.7 per hour.
AI Integration Developer

AI Integration Developer

DivIHN Integration Inc

Lemont, IL โ€ข On-site

$50.75 - $67.25/hr

Contractor

Posted 20 days ago


Job description

DivIHN (pronounced โ€œdivineโ€) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.

Visit us at https://divihn.com/find-a-job/ to learn more and view our open positions.

ย 
Please apply or call one of us to learn more

For further inquiries regarding the following opportunity, please contact one of our Talent Specialists,ย Amit atย 224 507 1290ย  orย Jessolin at 224-704-1714

Title:ย AI Integration Developer

Location: Hybrid atย Lemont, IL (Between 20-40% of the time in Lemont, IL).

Duration: 7 Months

Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered

Description:
Olient, through the NST division, is seeking an AI Integration Developer contractor experienced with the development, enhancement, and maintenance of AI-assisted workflows supporting scientific data. Some common tasks that will be performed include working with scientific domain experts to understand the location and structure of their data, designing methods to extract/develop metadata, implementing a strong dataset taxonomy to ensure consistency, orchestrating the migration of datasets for computational analysis using approved LLMs, etc.

Scope
Client is seeking an engagement with an experienced candidate with qualifications in the listed technologies to aid the NST division and CNM User Facility in work to automate/standardize the process of collecting and storing data for AI training and collaborative ventures.

Objectives

  • The overall goal of this assignment is to deliver a functional and impactful workflow to aid research scientists across the NST division with data management, including, but not limited to:
  • Identifying the location of data and the methodology to determine which data is to be managed through the workflow
  • Filtering, sanitizing, normalizing and/or otherwise preparing the data for storage/sharing
  • Packaging the data with AI-enabling metadata into an HDF5 format that can be used for long-term storage
  • Creating a mechanism to migrate and inventory data for easy retrieval and/or sharing
  • Building an interface/workflow that is accessible and easy to use by the research staff
  • ย Develop documentation of solutions
  • Construct all components, artifacts, etc. using acceptable tools and techniques, good coding practices and accessible documentation

Tasks and Delivery

  • Three projects have been identified that require data manipulation, sanitization, orchestration and automation.
  • During the first 2-3 weeks, engagements with the scientific domain experts will provide details on understanding their datasets, locations and desired outcomes.
  • Once the details have been identified by the domain scientists, work will begin through an iterative development process to create a compatible workflow, using existing or new tools to achieve the desired outcomes.
  • All tools, software and related materials will require compliance with local cybersecurity and IT standards as well as documentation of operation.
  • Development under revision control is required.
  • Delivery to the domain scientists of an MVP within the first 90-days of the project is expected. The MVP need not address all of the key deliverable outcomes but must demonstrate the core of the workflow desired.
  • Further refinement, refactoring and feature addition is expected beyond the 90-day window.
  • Once the domain scientists have accepted the solution, the candidate will be assigned a new set of domain experts and a new workflow to create. It is expected that each contractor will have no fewer than two active development tasks.

Required Background, Knowledge, Skills and Abilities
Knowledge/Skill/Ability:

  • A strong working understanding of AI and LLMs
  • Ability to develop efficient prompts and structured workflows with AI integration
  • Familiarity with AI workflow orchestrators (e.x. Dify), relational databases (e.x. MySql/MariaDB, Oracle, etc.)
  • Working knowledge of relevant programming/scripting languages (e.x. python) for automating tasks
  • Working knowledge of revision control systems (e.x. Git), CI/CD pipelines as implemented in services like GitLab/GitHub for testing and deploying solution changes automatically
  • ย Familiarity with RESTful web services
  • Strong skills in Linux (Debian and RHEL) CLI administration, development and general use
  • Familiarity with GUI development, either through web or Python applications
  • Strong written and oral communication skills, providing the ability to develop requirements for tasks through interactions with technical experts in the field

Background

  • Associate or bachelorโ€™s degree in computer science, information technology, system administration, or a closely related field, or equivalent experience required
  • 2 or more years of software development and/or system administration

Work Schedule:ย Mostly off-site schedule (up to 80%) with 40 hours per week. Schedule to be negotiated with hiring manager.

Technical Direction of Work:ย PSEโ€™s IT Manager โ€“ will manage the workload, but the tasks will be driven by the domain experts in NST/CNM.

Task and Time reporting:ย Time will be reported weekly, and performance will be measured against assigned tasks, schedule maintenance and productivity.

Government-Owned Property

  • The work will be completed using Government Furnished Equipment (GFE), complete with all required cyber protections, software licenses and tools needed to complete the work under the contract.
  • The device will be made available to the contractor at the outset of the contract, once all cyber-related training is complete.
  • At the completion of the contract term, all provided GFE shall be returned promptly to the client.

Security Requirements

  • As part of the contract, access will be granted to datasets and information systems secured with restrictive permissions.
  • Access to such systems is explicitly for the contractor only.
  • Accounts used for access may not be shared with others.
  • Datasets and other information assets may not be shared, copied or transferred out of client owned systems, including GFE noted above.
  • No clearance is required.

Computer Protection Program
The contractor(s) may have root access to government computers and/or Business Information Systems. The contractor(s) shall adhere to all policies and procedures of the Client Computer Protection Program, must not bypass any procedures established to protect data, applications, hardware, or communications at client, must maintain a work environment that will satisfy audit, privacy, and protection requirements, and must report any findings of inadequacies to the technical contact and the Client Cyber Security Representative.

About us:
DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.

DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.