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Ai Integration Engineer Jobs in Raleigh, NC (NOW HIRING)

Integration Engineer II- AI & Engineering

Raleigh, NC · Hybrid

$101K - $136K/yr

Integration Engineer II- AI & Engineering Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You ...

Data Services Integration Engineer Join the Legal Tech Revolution at Litera Are you ready to shape ... If you're passionate about building AI-forward solutions that scale globally and want your work to ...

Applied AI Engineer

Raleigh, NC · On-site

$104K - $137K/yr

This role involves developing AI platforms, automating workflows, and establishing best practices for AI integration within the Corporate IT Engineering team. Responsibilities : • Own and extend ...

Technical expertise in AI integration across natural language processing, computer vision, and generative models. What You'll Do and Impact: * Lead and mentor engineers in AI-first development ...

Integrations Engineer

Durham, NC

$100K - $135K/yr

You will design, build, and manage the integration architecture that links our industrial and ... Longer-term, this infrastructure becomes the foundation for Vulcan's data and AI capabilities. As ...

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13 ... The Integration Developer plays a critical role in our post-sales team by collaborating closely ...

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13 ... The Integration Developer plays a critical role in our post-sales team by collaborating closely ...

AI ML Engineer with LLM & AWS Integration

Raleigh, NC · On-site

$101K - $136K/yr

As an AI ML Engineer, you will contribute to developing and integrating AI-driven solutions, collaborating with cross-functional teams to enhance software applications and ensure quality standards.

Applied AI Engineer Raleigh, NC Apply Who We Are: Bandwidth, a prior "Best of EC" award winner, is ... Proficiency in Python and/or TypeScript for building integrations, scripts, and lightweight ...

Applied AI Engineer

Raleigh, NC · On-site

$104K - $137K/yr

As an Applied AI Engineer on the Corporate IT Engineering team, you'll identify where AI can create ... Proficiency in Python and/or TypeScript for building integrations, scripts, and lightweight ...

Applied AI Engineer

Raleigh, NC · On-site

$104K - $137K/yr

As an Applied AI Engineer on the Corporate IT Engineering team, you'll identify where AI can create ... Proficiency in Python and/or TypeScript for building integrations, scripts, and lightweight ...

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Ai Integration Engineer information

See Raleigh, NC salary details

$43.3K

$120.8K

$168.6K

How much do ai integration engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for ai integration engineer in Raleigh, NC is $120,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $136,100.00 per year, depending on experience, location, and employer.

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 does an AI integration engineer do?

An AI integration engineer designs and implements systems that incorporate artificial intelligence into existing software or hardware platforms. They work with machine learning models, APIs, and development tools to ensure seamless integration, often collaborating with data scientists and software developers to optimize AI functionalities within applications.

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.

Are AI engineers highly paid?

AI integration engineers are generally well-paid due to the high demand for expertise in artificial intelligence, machine learning, and data analysis. Salaries vary based on experience, location, and industry, but they tend to be above average compared to many other engineering roles. Advanced skills in programming, neural networks, and cloud platforms can further increase earning potential.

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.

What engineers make $500,000?

Senior engineers in specialized fields such as software, AI, or data engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in tech companies or startups.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or specialized AI consultants earning this level of compensation. These positions often require advanced skills in AI development, leadership experience, and may include bonuses or stock options that contribute to total compensation.

What are AI Integration Engineers?

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 popular job titles related to Ai Integration Engineer jobs in Raleigh, NC? For Ai Integration Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Integration Engineer jobs in Raleigh, NC look for? The top searched job categories for Ai Integration Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Integration Engineer jobs? Cities near Raleigh, NC with the most Ai Integration Engineer job openings:
Infographic showing various Ai Integration Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $120,799 per year, or $58.1 per hour.
Integration Engineer II- AI & Engineering

Integration Engineer II- AI & Engineering

Deloitte

Raleigh, NC • Hybrid

$101K - $136K/yr

Other

Posted 9 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Integration Engineer II- AI & Engineering


Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
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. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Recruiting for this role ends on 8/31/2026.
Work You'll Do
As Integration Engineer II you will have hands-on integration development skills to develop solutions streamlining business processes working with internal teams, near-shore, off-shore technologists and vendor relationships. You will be part of API management strategies to enable seamless communication between applications. You will work across geographies with accountability for the success, effectiveness and delivery of multiple work streams, managing a large, dispersed technology team.
Key Responsibilities:
* Integration Design & Architecture: Design complex integration solutions following industry best practices and leveraging various integration design patterns (e.g., publish/subscribe, request/reply, aggregator). Develop and implement solutions that adhere to established enterprise architecture frameworks.
* API Management: Design, build, and manage APIs using API Management capabilities, ensuring secure and efficient communication between systems (REST/SOAP).
* EDI Implementation & Management: Implement and manage Electronic Data Interchange (EDI) processes, including configuration of trading partners, profiles, and standards (ANSI X12, EDIFACT).
* Development & Deployment: Develop, test, and deploy integration processes across environments (Test, UAT, Production), managing the full software development lifecycle (SDLC).
* Troubleshooting and Support: Monitor integration performance, proactively identify and resolve issues, and provide expert-level post-deployment support.
* Documentation: Create and maintain comprehensive technical documentation for designs, configurations, data mapping, and architectural decisions.
* Collaboration & Best Practices: Work closely with cross-functional teams to optimize data flows and adhere to industry best practices in integration development.
* Accountability: Take ownership of assigned integration projects, manage expectations, and guide junior team members toward successful project delivery.
* AI & Agentic Integration: Utilize AI features (e.g., MuleSoft Vibes) to accelerate development, automate documentation, and troubleshoot issues

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

Qualifications
Required
* Bachelor's degree in computer science, software engineering, information technology or a related field.
* 4+ years of hands-on experience with the MuleSoft which should include understanding requirements and translating into technical designs.
* 4+ years of experience in the design and development of enterprise services using RAML in Mule, REST based APIs, SOAP Web Services and use of different Mule connectors.
* Should have MuleSoft Anypoint studio experience - hands-on designing and related Mule components (Mule ESB, ETLs, flows, Dataweave, Filtering, exception handling)
* Previous experience working in a consulting firm environment or within a relevant industry sector (e.g. retail, healthcare, manufacturing, financial services, etc.).
* Experience with Java, middleware, Mule ESB, strong knowledge of SOA and experience in designing Mule interfaces.
* Fluency with Web Services Standards such as XML, SOAP, REST, strong understanding of RDBMS.
* Must have experience with Mule ESB, SOA, Json, XDS, XML.
* 3+ years of hands-on experience in design and development of complex use cases involving MuleSoft.
* Experience in continuous integration and continuous deployment using Maven, Jenkins, BitBucket, GIT, and MuleSoft with familiarity with DevOps principles.
* Experience building MUnit test cases
* Current MuleSoft certifications.
* Experience working in an Agile environment.
* Strong understanding of enterprise integration design patterns, API protocols (REST/SOAP), XML, JSON, and data mapping.
* Experience with EDI standards (ANSI X12, EDIFACT) and implementing EDI solutions, including understanding of common documents (810, 850, 856, etc.)
* Experience with rational databases and strong SQL skills.
* Strong understanding of the SDLC methodologies.
* One certification in a cloud technology platform such as AWS, GCP or Azure.
* Proficiency in at least one programming language - Spring Boot, JavaScript or Python.
* Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
* Ability to travel up to 50% of the time, based on the work you do and the clients and industries/sectors you serve.
Preferred
* Exposure to and understanding of enterprise architecture frameworks (e.g. TOGAF)
* Experience integrating specific enterprise systems such as Salesforce, SAP, Oracle, HCM, Workday, etc.
* Familiarity with cloud technologies and architectures (AWS, Azure, GCP).
Sponsorship:
* Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Wages and Salary
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700-$170,900. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, the individual, and organizational performance.

Qualifications:

Integration Engineer II- AI & Engineering


Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
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. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Recruiting for this role ends on 8/31/2026.
Work You'll Do
As Integration Engineer II you will have hands-on integration development skills to develop solutions streamlining business processes working with internal teams, near-shore, off-shore technologists and vendor relationships. You will be part of API management strategies to enable seamless communication between applications. You will work across geographies with accountability for the success, effectiveness and delivery of multiple work streams, managing a large, dispersed technology team.
Key Responsibilities:
* Integration Design & Architecture: Design complex integration solutions following industry best practices and leveraging various integration design patterns (e.g., publish/subscribe, request/reply, aggregator). Develop and implement solutions that adhere to established enterprise architecture frameworks.
* API Management: Design, build, and manage APIs using API Management capabilities, ensuring secure and efficient communication between systems (REST/SOAP).
* EDI Implementation & Management: Implement and manage Electronic Data Interchange (EDI) processes, including configuration of trading partners, profiles, and standards (ANSI X12, EDIFACT).
* Development & Deployment: Develop, test, and deploy integration processes across environments (Test, UAT, Production), managing the full software development lifecycle (SDLC).
* Troubleshooting and Support: Monitor integration performance, proactively identify and resolve issues, and provide expert-level post-deployment support.
* Documentation: Create and maintain comprehensive technical documentation for designs, configurations, data mapping, and architectural decisions.
* Collaboration & Best Practices: Work closely with cross-functional teams to optimize data flows and adhere to industry best practices in integration development.
* Accountability: Take ownership of assigned integration projects, manage expectations, and guide junior team members toward successful project delivery.
* AI & Agentic Integration: Utilize AI features (e.g., MuleSoft Vibes) to accelerate development, automate documentation, and troubleshoot issues

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

Qualifications
Required
* Bachelor's degree in computer science, software engineering, information technology or a related field.
* 4+ years of hands-on experience with the MuleSoft which should include understanding requirements and translating into technical designs.
* 4+ years of experience in the design and development of enterprise services using RAML in Mule, REST based APIs, SOAP Web Services and use of different Mule connectors.
* Should have MuleSoft Anypoint studio experience - hands-on designing and related Mule components (Mule ESB, ETLs, flows, Dataweave, Filtering, exception handling)
* Previous experience working in a consulting firm environment or within a relevant industry sector (e.g. retail, healthcare, manufacturing, financial services, etc.).
* Experience with Java, middleware, Mule ESB, strong knowledge of SOA and experience in designing Mule interfaces.
* Fluency with Web Services Standards such as XML, SOAP, REST, strong understanding of RDBMS.
* Must have experience with Mule ESB, SOA, Json, XDS, XML.
* 3+ years of hands-on experience in design and development of complex use cases involving MuleSoft.
* Experience in continuous integration and continuous deployment using Maven, Jenkins, BitBucket, GIT, and MuleSoft with familiarity with DevOps principles.
* Experience building MUnit test cases
* Current MuleSoft certifications.
* Experience working in an Agile environment.
* Strong understanding of enterprise integration design patterns, API protocols (REST/SOAP), XML, JSON, and data mapping.
* Experience with EDI standards (ANSI X12, EDIFACT) and implementing EDI solutions, including understanding of common documents (810, 850, 856, etc.)
* Experience with rational databases and strong SQL skills.
* Strong understanding of the SDLC methodologies.
* One certification in a cloud technology platform such as AWS, GCP or Azure.
* Proficiency in at least one programming language - Spring Boot, JavaScript or Python.
* Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
* Ability to travel up to 50% of the time, based on the work you do and the clients and industries/sectors you serve.
Preferred
* Exposure to and understanding of enterprise architecture frameworks (e.g. TOGAF)
* Experience integrating specific enterprise systems such as Salesforce, SAP, Oracle, HCM, Workday, etc.
* Familiarity with cloud technologies and architec...


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