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Ai Integration Jobs in Delaware (NOW HIRING)

Lead AI Engineer

Newark, DE · On-site

$100K - $132K/yr

SDK/integration architecture, retrieval and agent design, guardrails, and evaluation. Makes the calls on which LLMs to use for which use cases and sets the observability/cost discipline around AI ...

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

You will help define requirements, contribute to lightweight prototypes, support integrations, and ensure solutions meet stakeholder needs. You will also help teams understand and adopt AI tools by ...

MuleSoft Architect

Dover, DE · On-site

$99K - $225K/yr

Experience with MuleSoft integration across multiple tools, including Salesforce * Experience using AI tools to expedite MuleSoft development and testing * Knowledge of API-led architecture, MuleSoft ...

You will set the architectural direction for how AI Studio integrates with Teradata Vantage's query engine, model registry, feature store, and agent harness. You will establish the patterns for how ...

Applied AI Solutions Analyst

Wilmington, DE · On-site +1

$93K - $169K/yr

We're building a purpose-built AI capability inside the firm: intelligent applications, agentic workflows, and deep integrations that are transforming how our attorneys and staff professionals work ...

Own thefull QA lifecyclefor AI-powered solutions - from unit and integration testing through system, performance, and scalability testing Partner with Analysts togenerate and evaluate test casesusing ...

Lead AI Engineer | Onsite - Delaware

Wilmington, DE · On-site

$99K - $131K/yr

Own delivery of LLM API integration and SDK patterns used across applications. * Set organizational guidance on which LLM to use for what use case and drive delivery of multi-LLM scenarios. * Define ...

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Showing results 1-20

Ai Integration information

See Delaware salary details

$21.5K

$118.1K

$171.1K

How much do ai integration jobs pay per year?

As of Aug 2, 2026, the average yearly pay for ai integration in Delaware is $118,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,100.00 and $146,600.00 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.
What are popular job titles related to Ai Integration jobs in Delaware? For Ai Integration jobs in Delaware, the most frequently searched job titles are:
Infographic showing various Ai Integration job openings in Delaware as of July 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 70% In-person, and 30% Remote job distribution, with an average salary of $118,088 per year, or $56.8 per hour.

Business Development Executive - IT

DyaTech LLC

Dover, DE • On-site

Other

Posted 20 days ago


Job description

Company Background

The cybersecurity industry in mid-2025 remains a high-growth and high-priority space, driven by rising threats, regulatory changes, AI integration, and the optimization of processes to adopt AI at scale.

We at Cyber Security Inc. are building the next service layer for AI era secure software development life cycle in mid-sized enterprises.

We are looking for a business leader to help us build this service business. If you have experience selling to technical buyers (CISOs, DevOps, CTOs), know how to open doors at Series A C tech companies, and love building early-stage GTM playbooks, we d love to talk.

Target Market: Cybersecurity, DevSecOps, Compliance-as-Code Target Clients: US-based medium to large enterprises

Offering: Security and Compliance automation embedded into AI driven CI/CD pipelines Location: Remote (US C Countries)

Job Responsibilities

Identify, qualify, and engage with potential enterprise customers (CTOs, CISOs, DevOps leaders)

Lead sourcing and generating business leads

Cold- Calling C Level Executives and Key Decision Makers to open up new conversations and opportunities

Communicating using all channels to develop a rapport with decision makers and setting up zoom calls with CSI s product and technical team to present solutions

Achieve and exceed sales targets

Build a repeatable outbound and partner-led GTM process

Refine customer profiles, pain points, and early value propositions

Work closely with founders on messaging, positioning, and pricing

Building long term relationships with target clients

Identify potential partnerships, relationships, and alliances to achieve the company's mission.

Track record required:

A hunter with existing relationships in the target sector.

Must have 2 to 3 years of sales experience in technology domain.

What we are looking for:

2-3+ years in business development, sales, or partnerships for B2B SaaS, preferably in:

o Cybersecurity

o DevOps/DevTools

o Cloud or compliance platforms

Proven ability to sell to technical audiences (CISOs, security engineers, platform teams, CTOs)

Entrepreneurial mindset you re comfortable in early-stage ambiguity

Strong written and verbal communication (especially around technical value props)

Experience using CRM tools (Hubspot, Salesforce), LinkedIn Sales Navigator, and outbound tools

What We Offer:

Competitive base + performance-linked bonus

Flexible, remote-first work culture

Direct access to founders and influence on product and GTM direction