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

Duke University

AI Engineer

Durham, NC · Hybrid

$110K - $132K/yr

You'll collaborate closely with data engineering, analytics, and domain teams to integrate AI into Duke's broader data ecosystem, delivering scalable, production-ready solutions. This role is ideal ...

RELX Group plc

Applied AI Engineer

Raleigh, NC

As an Applied AI Engineer at LexisNexis, you will partner with internal teams and enterprise ... Contribute to scalable orchestration layers for prompting, retrieval, and tool integration across ...

LexisNexis

Applied AI Engineer

Raleigh, NC · On-site

As an Applied AI Engineer at LexisNexis, you will partner with internal teams and enterprise ... Contribute to scalable orchestration layers for prompting, retrieval, and tool integration across ...

RELX

Applied AI Engineer

Raleigh, NC · On-site

As an Applied AI Engineer at LexisNexis, you will partner with internal teams and enterprise ... Contribute to scalable orchestration layers for prompting, retrieval, and tool integration across ...

Deloitte

AI Senior Manager - SFL Scientific

Raleigh, NC · On-site

Our scientists and engineers' partner with Deloitte to deliver custom AI capabilities. With our ... From strategy to execution, this team delivers integrated, end-to-end support and advisory services ...

Redhat

Sr Principal Software Engineer (Azure)

Raleigh, NC · On-site +1

$193K - $318K/yr

Drive the strategy for AI integration within the platform while championing the use of AI-assisted ... Mentor senior engineers, fostering a culture of technical excellence and continuous learning.

Direct Supply, Inc.

AI Engineer

Durham, NC · On-site

We're hiring engineers to design, ship, and operate those systems in production. This role spans ... Experience integrating AI solutions into existing, established products. * Experience working with ...

New

Eliassen Group

Senior AI/ML Engineer

Raleigh, NC · Remote

$90 - $100/hr

The role includes LLM orchestration, RAG pipelines, vector database integration, and multi-agent systems. The engineer will build predictive models, apply document AI with transformers, and integrate ...

Directsupply

AI Engineer

Durham, NC

We'rehiring engineers to design, ship, andoperatethose systems in production. This role spans the ... Experience integrating AI solutions into existing,establishedproducts. * Experience working with ...

New

Accenture

Senior Advanced AI Research Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Our Data & AI practice brings together more than 45,000 professionals helping clients design ... Platform Contribution & Integration: * Work alongside platform engineers to integrate validated ...

New

Infosys

AI/ML Engineer with Generative AI

Raleigh, NC · On-site

The AI/ML Engineer role focuses on leveraging advanced technologies such as generative AI to drive ... coding and integrate new features or updates into existing applications, with a focus on ...

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Showing results 1-20

All JobsAi Integration Engineer JobsAi Integration Engineer Jobs in Raleigh, NC

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:
Ai Integration Engineer jobs near you
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.
AI Engineer (Research & Development)

AI Engineer (Research & Development)

Bandwidth

Raleigh, NC • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 16 days ago

Job description

Who We Are:
Bandwidth, a prior "Best of EC" award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders!
At Bandwidth, your music matters when you are part of the BAND. We celebrate differences and encourage BANDmates to be their authentic selves. #jointheband
What We Are Looking For:
Bandwidth's Research & Development (R&D) team is at the forefront of exploring and harnessing transformative technologies to define the next generation of communication experiences. We operate as a small, agile, and T-shaped group, diving deep into emerging areas like Artificial Intelligence and Machine Learning. We're seeking a highly motivated AI/ML Engineer to join this dynamic team in our Raleigh, NC headquarters.
You thrive in a collaborative, fast-paced environment where you can rapidly iterate on ideas and prototypes. You have a startup mentality, comfortable with ambiguity and driven by a relentless curiosity to explore, build, and learn. If you're passionate about applying cutting-edge AI/ML, especially Large Language Models (LLMs), to solve real-world problems and shape future products, this is the role for you. This position requires working full-time from our Raleigh office.
What You'll Do:
  • Dive deep into the latest AI/ML research, particularly in the LLM space, identifying opportunities relevant to Bandwidth's domain.
  • Design, build, and test proof-of-concepts and prototypes for novel AI-powered features and services.
  • Implement and integrate AI/ML models, including those based on LLMs, into potential future Bandwidth offerings.
  • Collaborate intensely within a small, cross-functional R&D team, sharing knowledge and contributing to a T-shaped skill set.
  • Experiment with various AI techniques, including advanced prompting strategies, Retrieval-Augmented Generation (RAG), and potentially agentic systems.
  • Stay constantly updated on the rapidly evolving AI landscape, evaluating new tools, models, and methodologies.
  • Leverage LLM-powered IDEs and development tools (like GitHub Copilot, Cursor, etc.) to accelerate the innovation cycle.
  • Clearly articulate and present research findings, experiment results, and prototype demonstrations to technical and non-technical stakeholders.

What You Need:
  • Bachelor's degree in Computer Science, AI, ML, or a related technical field, or equivalent practical experience.
  • Demonstrable expertise and hands-on experience in Artificial Intelligence and Machine Learning, with deep knowledge in at least one specific AI domain (e.g., NLP, LLMs, Speech Recognition).
  • Proven experience (typically 3+ years) designing, building, and evaluating AI/ML models and systems.
  • Strong programming skills, particularly in Python and familiarity with common ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face).
  • Solid understanding and practical experience with Large Language Models (LLMs) and associated concepts, including Retrieval-Augmented Generation (RAG) and various prompting techniques (e.g., Zero-shot, Few-shot, Chain of Thought).
  • Experience implementing services or applications built on top of foundational LLMs (via APIs or open-source models).
  • Proven ability to thrive in a small, highly collaborative team environment with an urgent, results-oriented culture. Significant experience in startups or similar fast-moving, resource-constrained organizations is highly desirable.
  • A relentless curiosity and passion for exploring new technologies and techniques in the AI/ML space.
  • Experience using LLM-powered IDEs or coding assistants.
  • Excellent problem-solving skills and the ability to navigate ambiguity.
  • Must be able to work full-time from the Bandwidth headquarters in Raleigh, NC.

Bonus Points:
  • Master's degree or PhD in Computer Science, AI, ML, or a related field.
  • Experience with LLM training, fine-tuning (e.g., LoRa), and/or developing custom evaluation benchmarks.
  • Familiarity with advanced AI architectures and concepts such as agentic systems (e.g., ReAct), multi-modal models, Mixture of Experts (MoE), or LLM tooling/external capabilities.
  • Experience with MLOps practices and cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform).
  • Familiarity with AI Developer and Agentic Frameworks (e.g., OpenAI, LangChain, CrewAI, Autogen)
  • Experience contributing to AI/ML research, publications, or open-source projects.

The Whole Person Promise:
At Bandwidth, we're pretty proud of our corporate culture, which is rooted in our "Whole Person Promise." We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well...
  • 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
  • All new hires receive four weeks of PTO.
  • PTO Embargo. When you take time off (of any kind!) you're embargoed from working. Bandmates and managers are not allowed to interrupt your PTO - not even with email.
  • Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
  • "Mahalo moments" program grants additional time off for life's most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.
  • 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

Are you excited about the position and its responsibilities, but not sure if you're 100% qualified? Do you feel you can work to help us crush the mission? If you answered 'yes' to both of these questions, we encourage you to apply! You won't want to miss the opportunity to be a part of the BAND.
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