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Ai Automation Engineer Jobs in Delaware (NOW HIRING)

AI Solutions Engineer

Newark, DE · On-site

$85 - $110/hr

We are looking for an AI Solutions Engineer to join our Technical & Data Intelligence team. This ... Build and integrate AI applications, automation workflows, internal tools, and data-driven ...

Lead EHV Engineer 2 - Grid

Wilmington, DE · Hybrid

$99K - $131K/yr

AI & Automation at Sargent & Lundy In this role, we expect people to be willing or able to lead others who use modern tools: * You are expected to lead others in taking engineering problems from ...

Lead EHV Engineer 2 - Grid

Wilmington, DE · On-site

$134K - $205K/yr

AI & Automation at Sargent & Lundy In this role, we expect people to be willing or able to lead others who use modern tools: * You are expected to lead others in taking engineering problems from ...

Showing results 41-60

Ai Automation Engineer information

See Delaware salary details

$37K

$107.2K

$163.1K

How much do ai automation engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for ai automation engineer in Delaware is $107,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,600.00 and $123,600.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What is the difference between Ai Automation Engineer vs Data Scientist?

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

Is AI automation a high paying job?

AI automation engineers typically earn higher-than-average salaries due to their specialized skills in machine learning, programming, and data analysis. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

Is AI automation engineer in demand?

AI automation engineers are in high demand due to the increasing adoption of artificial intelligence and automation across industries. They are needed to develop, implement, and maintain AI-driven systems, often requiring skills in machine learning, programming, and data analysis. Job opportunities are growing as companies seek to improve efficiency and innovation through automation technologies.

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

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

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

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

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

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

Infographic showing various Ai Automation Engineer job openings in Delaware as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $107,219 per year, or $51.5 per hour.

AI Solutions Engineer

PCOnline

Newark, DE • On-site

$85 - $110/hr

Other

Posted 19 days ago


Key responsibilities

  • Design, develop, and implement AI-enabled solutions that address real business and operational challenges.

  • Work closely with business and technical stakeholders to understand requirements, clarify problems, and translate needs into practical technical solutions.

  • Support the full solution lifecycle, including discovery, prototyping, development, testing, deployment, documentation, and ongoing improvement.


Job description

We are looking for an AI Solutions Engineer to join our Technical & Data Intelligence team. This role is designed for a hands-on problem solver who can combine AI, software engineering, data, and business understanding to build practical solutions that improve operational efficiency and decision-making across the organization. The ideal candidate is comfortable working in ambiguous business environments, partnering with cross-functional teams, identifying opportunities for improvement, and delivering scalable technical solutions from concept to implementation. We value candidates who can go beyond building demos. The right person is able to understand a real business problem, design a practical solution, build it, deploy it, support adoption, and continuously improve it based on user feedback and measurable impact.

Key Responsibilities
  • Design, develop, and implement AI-enabled solutions that address real business and operational challenges.
  • Work closely with business and technical stakeholders to understand requirements, clarify problems, and translate needs into practical technical solutions.
  • Build and integrate AI applications, automation workflows, internal tools, and data-driven solutions into existing business processes.
  • Apply technologies such as LLMs, RAG, agents, prompt engineering, APIs, and data pipelines where appropriate to improve productivity and decision-making.
  • Support the full solution lifecycle, including discovery, prototyping, development, testing, deployment, documentation, and ongoing improvement.
  • Evaluate solution performance, reliability, usability, cost, and business impact, and continuously improve delivered solutions.
  • Collaborate with engineering, data, product, operations, and business teams to ensure solutions are adopted and maintained effectively.
Basic Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent practical experience.
  • 2+ years of experience in software engineering, solutions engineering, data engineering, automation, AI application development, or related technical roles.
  • Strong programming ability in Python and experience working with APIs, databases, SQL, and data processing workflows.
  • Hands-on experience with AI application development, including LLM APIs, RAG, agents, prompt engineering, or related technologies.
  • Ability to understand business processes, analyze ambiguous problems, and convert them into actionable technical solutions.
  • Experience delivering technical solutions beyond prototypes, preferably in production or business-critical environments.
  • Strong communication skills and ability to work effectively with both technical and non-technical stakeholders.
  • Strong ownership, execution ability, and willingness to work in a fast-moving environment.
  • Experience in solutions engineering, forward deployed engineering, internal tools, automation, technical consulting, or business systems implementation.
  • Experience with enterprise systems, workflow automation, BI tools, cloud platforms, or data platforms.
  • Experience building AI assistants, automation tools, knowledge systems, decision-support tools, or internal productivity applications.
  • Familiarity with cloud infrastructure, system integration, security, permissions, monitoring, and production reliability practices.
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