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Generative Ai Developer Jobs in Delaware (NOW HIRING)

The Chemours Company

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 ...

ClifyX

GenAI Engineer

Wilmington, DE · On-site

... Engineer to design and develop AI and Machine Learning solutions specifically for banking ... Responsibilities : • Design and develop AI/ML and Generative AI solutions for banking use cases ...

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Generative Ai Developer information

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$19

$45

$101

How much do generative ai developer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for generative ai developer in Delaware is $45.33, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $54.86 per hour, depending on experience, location, and employer.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What are popular job titles related to Generative Ai Developer jobs in Delaware? For Generative Ai Developer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Delaware look for? The top searched job categories for Generative Ai Developer jobs in Delaware are:
What cities in Delaware are hiring for Generative Ai Developer jobs? Cities in Delaware with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Delaware as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $94,281 per year, or $45.3 per hour.

AI Technology Leader

Berkley Technology Services

Wilmington, DE • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Berkley Technology Services (BTS) is a dynamic company committed to providing world class IT services. They are seeking a strategic, enterprise-focused AI Technology Leader to lead the architecture and platform strategy for Generative and Agentic AI capabilities across the organization.
Responsibilities:
• Define and evolve the enterprise-wide technology strategy for Generative and Agentic AI, aligned with business goals and operational priorities.
• Partner with the Corporate AI Leader to translate business needs into scalable AI capabilities and reusable platform components.
• Serve as a strategic advisor to senior leadership on AI platform direction, architectural decisions, and emerging technologies.
• Lead the design of a modular, secure, and scalable AI architecture that supports generative and agentic AI use cases across underwriting, claims, policy servicing, actuarial, finance, HR, IT and customer engagement.
• Define reference architectures, reusable components, and integration patterns for AI agents, orchestration frameworks, and LLM-based services.
• Ensure alignment with enterprise architecture, cloud strategy, and data platform capabilities.
• Lead a small, high-impact team of AI engineers and product managers responsible for building and enabling AI capabilities across the enterprise. Some of these members will work in matrix reporting relationships.
• Establish foundational practices, delivery models, and team culture as the function matures.
• Provide strategic direction, coaching, and prioritization to ensure delivery of high-value solutions.
• Evaluate and recommend enterprise-grade AI platforms, orchestration frameworks (e.g., LangChain, Semantic Kernel), vector databases, and agentic AI toolkits.
• Guide the development of a shared AI services layer (e.g., prompt libraries, RAG pipelines, agent orchestration) to accelerate delivery and reuse.
• Stay current with the evolving AI technology landscape and assess applicability to the insurance domain.
• Ability to review technical and business proposals and guide teams to land on optimal AI solutions
• Collaborate with the AI Governance team to ensure that AI solutions are designed and deployed in compliance with regulatory, ethical, and risk management standards.
• Contribute to the development of policies and frameworks for responsible AI, including transparency, explainability, and human oversight.
• Ensure that technology decisions support auditability, traceability, and model lifecycle management.
• Discern between Gen AI related risks, operational automation/business risks and evangelize the right adoption framework.
• Partner with enterprise architects, infrastructure teams, and applications teams ensure seamless integration of AI into existing systems and workflows.
• Partner with Corporate AI Leader to ensure business priorities are reflected in the implementation plans.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field; MBA or equivalent business education is a plus.
• 12+ years of experience in enterprise technology leadership roles, with at least 3 years focused on AI/automation strategy, architecture, or platform enablement.
• Strong understanding of Generative AI (LLMs, RAG, prompt engineering) and Agentic AI (multi-agent systems, autonomous workflows) from a platform and architecture perspective.
• Familiarity with enterprise AI platforms (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI), orchestration frameworks, and cloud-native design.
• Strong understanding of modern application development frameworks and agile.
• Proficiency in MLOps practices and tools (CI/CD for ML, containerization, orchestrated model deployment), developing reproducible deployment pipelines.
• Proven experience leading cross-functional technology teams, including product managers and engineers.
• Strong ability to influence senior stakeholders and drive enterprise-wide alignment.
• Excellent communication and storytelling skills to articulate complex AI concepts to both technical and non-technical audiences.
Preferred:
• Experience in commercial or specialty insurance, financial services, or other regulated industries is strongly preferred.
• Experience with intelligent automation, digital workers, or AI-driven process orchestration in insurance operations.
• Familiarity with regulatory frameworks and ethical considerations for AI in financial services (e.g., NYDFS, NAIC, GDPR, AI Act).
• Participation in industry forums, standards bodies, or AI governance initiatives.
Company:
Berkley Technology Services offers networking, software development, UI/UX design, project management and IT shared services. Founded in 2001, the company is headquartered in Wilmington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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