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Ai Programmer Jobs in Delaware (NOW HIRING)

JPMorgan Chase & Co.

$140 - $190/hr

As a Lead Software Engineer - Python/React/AWS/AI at JPMorganChase within the Consumer and Community Banking team, you are an integral part of an agile team that works to enhance, build, and deliver ...

ApTask

AI-ML Tech Lead

Wilmington, DE · On-site

$42K - $55K/yr

Required : • 10+ years of software engineering experience with at least 3+ years in a Tech Lead or Architect role. • Strong background in AI/ML systems, including: LLMs, Agentic architectures ...

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Ai Programmer information

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How much do ai programmer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai 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 does an AI programmer do?

An AI Programmer develops and implements artificial intelligence algorithms in software applications, such as games, robotics, or machine learning systems. They write code, optimize AI models, and ensure efficient decision-making processes. Their role often involves working with machine learning frameworks, neural networks, and behavior modeling. AI Programmers collaborate with data scientists and developers to create intelligent systems that can learn, adapt, and make automated decisions.

How much does an AI programmer make?

AI programmers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially with advanced certifications and proficiency in programming languages like Python or frameworks such as TensorFlow.

What are the key skills and qualifications needed to thrive in the AI programmer position, and why are they important?

To thrive as an AI Programmer, you need strong proficiency in programming languages such as Python or C++, a solid understanding of machine learning concepts, and often a bachelor's degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch and knowledge of data structures and algorithms are typically required, with certifications in machine learning or AI being advantageous. Analytical thinking, strong problem-solving skills, and effective teamwork are key soft skills that set candidates apart. These competencies enable AI Programmers to design, implement, and optimize intelligent systems that address complex real-world challenges.

How can I become an AI programmer?

To become an AI programmer, you should develop strong skills in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and gain knowledge of algorithms, data structures, and mathematics including linear algebra and statistics. Earning a relevant degree in computer science, data science, or related fields and gaining practical experience through projects or internships are also important steps.

What does a typical workday look like for an AI programmer?

A typical workday for an AI Programmer involves designing, coding, and testing machine learning models to solve specific problems or enhance product features. You'll often collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into larger applications or workflows. The role frequently includes experimenting with new algorithms, debugging models, and participating in regular team meetings to discuss project progress. Depending on the company, you may also contribute to code reviews, technical documentation, and ongoing model optimization. This dynamic environment ensures continuous learning and exposure to cutting-edge technologies.

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

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

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

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

Ai Programmer jobs near you
Infographic showing various Ai Programmer job openings in Delaware as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 50% In-person, 25% Hybrid, and 25% Remote job distribution, with an average salary of $82,305 per year, or $39.6 per hour.

Lead Software Engineer - Python/React/AWS/AI

JPMorgan Chase & Co.

Wilmington, DE • On-site

$140 - $180/hr

Other

Posted 25 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.


As a Lead Software Engineer - Python/React/AWS/AI at JPMorganChase within the Consumer and Community Banking team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.


Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

  • Develops secure high-quality production code, and reviews and debugs code written by others

  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.

  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.


Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience

  • Hands-on practical experience delivering system design, application development, testing, and operational stability

  • Advanced in one or more programming language(s) including Python, Java, React, AWS and AI

  • Proficiency in automation and continuous delivery methods

  • Proficient in all aspects of the Software Development Life Cycle

  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

  • In-depth knowledge of the financial services industry and their IT systems

  • Practical cloud native experience

  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.

  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices


Preferred qualifications, capabilities, and skills

  • Modern emerging technologies

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