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Artificial Intelligence Programmer Jobs in Delaware

About Actalent Actalent is a global leader in engineering and sciences services and talent ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

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About Actalent Actalent is a global leader in engineering and sciences services and talent ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

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About Actalent Actalent is a global leader in engineering and sciences services and talent ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

New

About Actalent Actalent is a global leader in engineering and sciences services and talent ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

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Artificial Intelligence Programmer information

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How much do artificial intelligence programmer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for artificial intelligence programmer in Delaware is $39.57, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.49 per hour, depending on experience, location, and employer.

What are some common challenges faced by Artificial Intelligence Programmers when integrating AI models into existing products?

Artificial Intelligence Programmers often encounter challenges such as ensuring compatibility between AI models and legacy systems, managing data quality and quantity for effective model training, and optimizing model performance for real-time applications. Collaboration with software engineers, data scientists, and product managers is essential to address these issues and ensure seamless integration. Additionally, balancing computational efficiency with model accuracy is a frequent consideration, especially when deploying AI features in resource-constrained environments.

What are Artificial Intelligence Programmers?

Artificial Intelligence Programmers are specialized software developers who design, implement, and optimize algorithms that enable computers and applications to perform tasks requiring human-like intelligence. They typically work with machine learning, deep learning, natural language processing, and other AI technologies to create systems that can learn, analyze data, recognize patterns, and make decisions. Their work is crucial in industries such as robotics, gaming, healthcare, finance, and more, as AI becomes increasingly integrated into modern technology.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Programmer, and why are they important?

To thrive as an Artificial Intelligence Programmer, you need a strong background in computer science, mathematics, and machine learning algorithms, often supported by a relevant degree. Familiarity with programming languages like Python, TensorFlow, PyTorch, and experience with data processing tools are typically required. Analytical thinking, creativity, and effective communication help professionals stand out in developing innovative AI solutions. These skills are vital to build, optimize, and deploy intelligent systems that solve complex real-world problems.
What are popular job titles related to Artificial Intelligence Programmer jobs in Delaware? For Artificial Intelligence Programmer jobs in Delaware, the most frequently searched job titles are:

Applied AI/ML - Vice President

JPMorganChase

Wilmington, DE • On-site

Full-time

Re-posted 18 hours ago


Job description

Job Summary:
JPMorgan Chase is one of the oldest financial institutions, providing innovative financial solutions to a diverse clientele. The Applied AI/ML Lead will drive machine learning and generative AI projects, working collaboratively with product managers and engineers to implement cutting-edge AI solutions that enhance the Home Lending sector.
Responsibilities:
• Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements.
• Design, develop, and deploy state-of-the-art AI/ML/GenAI solutions to meet business objectives.
• Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
• Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create innovative fintech products.
• Develop advanced monitoring and management tools to ensure high reliability and scalability of AI/ML systems.
• Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
• Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
• Communicate AI/ML capabilities and results to both technical and non-technical audiences.
• Build AI Agents and chatbot
• Stay informed about the latest trends and advancements in the latest AI/ML research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.
Qualifications:
Required:
• Bachelor’s degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science.
• 5+ years of experience in Machine Learning and Artificial Intelligence engineering.
• Experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
• Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
• Extensive hands-on technical experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, AWS Bedrock, Transformers, LangChain/LngGraph.
• Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), orchestration tools (Airflow, FastAPI, etc.) and architectural design, implementation, and performance optimization.
• Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, deep learning, reinforcement learning), and generative model architectures.
• Expert in Large Language models (OpenAI, Anthropic, Mistral, etc) including fine-tuning models, prompt engineering, embeddings and context window.
• Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
Preferred:
• Familiarity with the financial services industries.
• Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
• Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
• Familiarity with ethical AI, including bias mitigation, explainability and escalation protocols for risky outputs.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.