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Ai Integration Engineer Jobs in Delaware (NOW HIRING)

Lead AI Engineer

Wilmington, DE · On-site

$186K - $285K/yr

Job Title Lead AI Engineer About Your Role As a Lead AI Engineer, you will play a critical role in ... integration frameworks * 5+ years of experiencein a Principal Engineer, Architect, Lead Engineer ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Integrate with third-party services, including Kafka, Entra ID, * Collaborate with the frontend ... AI or machine learning platforms. * Strong knowledge of programming languages such as Python, R ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Integrate with third-party services, including Kafka, Entra ID, * Collaborate with the frontend ... AI or machine learning platforms. * Strong knowledge of programming languages such as Python, R ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

The AI Platform, Principal Engineer is responsible for designing, building, and maintaining robust ... Integrate with third-party services, including Kafka, Entra ID, * Collaborate with the frontend ...

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... integration, reliability and scalability. * Ensure the use of standards, governance and best ...

Senior AI Engineer

Wilmington, DE · On-site +1

$101K - $139K/yr

Chemours is seeking a Senior AI Engineer to join our growing AI & Data Science team. This is a ... Identify, design, and integrate Generative AI solutions into existing business workflows to deliver ...

Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week ... integration, reliability and scalability. * Ensure the use of standards, governance and best ...

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Build and integrate AI-driven features that improve task delegation workflows - for example ...

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Build and integrate AI-driven features that improve task delegation workflows - for example ...

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

... across engineering teams. Create, test, and refine prompts for generative AI applications. Participate in prompt tuning and experimentation to improve model outputs. Assist with integrating AI ...

... Integrate AI models into production using APIs and microservices • Apply prompt engineering and model optimization techniques • Monitor model performance, drift detection, and continuous ...

AI-ML Tech Lead

Wilmington, DE · On-site

$42K - $55K/yr

... integration contracts, and deployment architecture. • Act as the hands‐on technical lead, guiding AI/ML engineers, DSL engineers, backend developers, and SFMC specialists. • Lead POCs ...

Showing results 21-40

Ai Integration Engineer information

See Delaware salary details

$44.5K

$124.4K

$173.7K

How much do ai integration engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai integration engineer in Delaware is $124,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $140,100.00 per year, depending on experience, location, and employer.

What is an AI integration engineer?

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 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 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.

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.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.

What are popular job titles related to Ai Integration Engineer jobs in Delaware?

For Ai Integration Engineer jobs in Delaware, the most frequently searched job titles are:

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

The top searched job categories for Ai Integration Engineer jobs in Delaware are:

What cities in Delaware are hiring for Ai Integration Engineer jobs?

Cities in Delaware with the most Ai Integration Engineer job openings:

Infographic showing various Ai Integration Engineer job openings in Delaware as of August 2026, with employment types broken down into 63% Full Time, 20% Part Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $124,382 per year, or $59.8 per hour.

Python Engineer with Agentic AI

Brilliant Infotech, Inc.

Wilmington, DE • On-site

Full-time

Posted 5 days ago


Job description

Role: Python Full Stack Engineer with Agentic AI
Location: Wilmington, DE/NYC, NY - Onsite
Duration: 12+ Months
Note: Need Local and W2 Candidates Only
Skills required -
AWS preferred, React, Kubernetes, some streaming/Kafka, NOSQL, CI/CD, testing, alerts, and monitoring(Splunk/Dynatrace). Must know AI for code optimization to accelerate development.
Need strong Senior level coders (generally 8+ years) that can perform code reviews and participate in design discussions, not people managers.
Software Engineers Python, Cloud, NOSQL Kafka monitoring + Agentic AI exp. (MCP, Google ADK, exp building software that integrates with AI Agents)
Testing (Junit, Mockito, etc.) and monitoring tools (Dynatrace, Splunk, etc.) are important, as well as REST API.