ZipRecruiter

Log In

1

Ai Automation Engineer Jobs in Raleigh, NC (NOW HIRING)

Grover Gaming, Inc.

Test Automation Architect

Raleigh, NC · On-site

$120 - $180/hr

R322256## Position Summary## The Quality Architect / AI Automation Architect will lead the design ... Support junior Engineers to accelerate test automation by training, guiding, and solving technical ...

Lnw

Test Automation Architect

Raleigh, NC · On-site

Position Summary The Quality Architect / AI Automation Architect will lead the design and ... Support junior Engineers to accelerate test automation by training, guiding, and solving technical ...

Grover Gaming

Test Automation Architect

Raleigh, NC · On-site

Position Summary The Quality Architect / AI Automation Architect will lead the design and ... Support junior Engineers to accelerate test automation by training, guiding, and solving technical ...

PROLIM Global Corporation

Python Developer with AI

Cary, NC · On-site

$47.75 - $66/hr

We are seeking a Python Developer with AI/Automation experience to design, develop, integrate, and support enterprise applications and AI-powered automation solutions. The ideal candidate will have ...

Accenture

AI Infrastructure Operations Engineer

Raleigh, NC · Hybrid

$104K - $137K/yr

We build reusable operational tools, automation workflows, and platform capabilities that make ... engineering, change management, and performance validation for AI training, inference, HPC, and ...

previous page

Showing results 41-60

All JobsAi Automation Engineer JobsAi Automation Engineer Jobs in Raleigh, NC

Ai Automation Engineer information

See Raleigh, NC salary details

$36K

$104.1K

$158.4K

How much do ai automation engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ai automation engineer in Raleigh, NC is $104,130.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,100.00 and $120,000.00 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 Raleigh, NC?

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

What job categories do people searching Ai Automation Engineer jobs in Raleigh, NC look for?

The top searched job categories for Ai Automation Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Ai Automation Engineer jobs?

Cities near Raleigh, NC with the most Ai Automation Engineer job openings:

Ai Automation Engineer jobs near you
Infographic showing various Ai Automation Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $104,130 per year, or $50.1 per hour.

Senior QA Automation Engineer / SDET

ENFOS, Inc.

Durham, NC • On-site

Full-time

Re-posted 23 days ago

Job description

ENFOS is redefining how global enterprises manage long-term environmental risk. As the category leader in Environmental Obligation Management, our platform centralizes and automates the full lifecycle of Environmental Remediation Obligations (EROs) and Asset Retirement Obligations (AROs)-replacing fragmented spreadsheets and outdated tools with a purpose-built, multi-tenant SaaS platform.
For 25 years, ENFOS has helped the world's leading industrial companies stay audit-ready, SOX-compliant, and financially in control of their environmental obligations. Privately held and profitable, ENFOS operates with no direct competitors and supports a blue-chip customer base spanning energy and natural resources, chemicals, manufacturing, and logistics end markets.
With regulatory pressure rising and ESG scrutiny intensifying, ENFOS is uniquely positioned to empower Finance, Legal, and Remediation teams to improve decision-making, mitigate risk, and drive long-term balance sheet reliability.
Why ENFOS?Every major industrial company carries Environmental Obligations: the legal and financial commitments to remediate, restore, and account for the footprint of their operations. These obligations represent billions of dollars of liabilities, span decades, and have historically been managed across spreadsheets, inboxes, and institutional knowledge.
ENFOS is the enterprise system of record that replaces all of that. The world's leading energy, chemical, mining, manufacturing, and industrial companies run their Environmental Obligation programs on our platform.
Our advantage isn't a generic AI model. It's decades of domain expertise, structured enterprise data, and mission-critical workflows that competitors cannot easily replicate. We are profitable, growing quickly, and transforming our platform from a record system into an AI-enabled system of intelligence. If you're excited about building durable enterprise software, solving complex technical problems, and shaping the future of EOM, we'd love to meet you.
About the Role:
As a Senior QA Automation Engineer / SDET at ENFOS, reporting to the QA Lead, who reports directly to the Chief Technology Officer, you will join our Quality Engineering team and play a key role in ensuring the quality, reliability, and scalability of a platform trusted by many of the world's largest industrial companies. You will own the testing strategy and execution for new features from requirements through production release, combining deep exploratory and manual testing with scalable end-to-end automation built on Playwright.
This role carries significant ownership across test strategy, automation coverage, and quality standards. You will embrace AI-assisted testing to increase coverage and productivity, mentor junior engineers, and raise quality engineering practices across the team.
How We Work:
We believe exceptional software is built by engineers who own outcomes, not just tickets.
  • Agile development: We operate in two-week sprints with clear ownership, rapid iteration, and continuous customer feedback.
  • Engineering Excellence: Clean architecture, automated testing, code reviews, and maintainable software are foundational to how we build.
  • Modern Platform: Our platform is supported by a modern engineering toolchain including Playwright, GitLab, GitLab CI/CD, and Docker.
  • Continuous Growth: We invest in mentorship, quality engineering leadership, and system-level thinking, creating opportunities to influence the platform and grow your career.

Expectations:
Success in this role means independently driving quality throughout the development lifecycle, catching issues before customers do, and continuously raising the reliability and coverage of our test suites. You are expected to own testing initiatives end-to-end, review requirements for gaps and risk before development is complete, provide reliable estimates, communicate clearly across teams, and deliver high-quality releases on schedule.
What You'll Do:
  • Own the testing effort for new features from requirements through production release.
  • Design, execute, and maintain comprehensive manual, exploratory, regression, and end-to-end automated test scenarios.
  • Develop and maintain scalable automated test suites using Playwright, and perform API testing to validate REST backend integrations.
  • Build and maintain automated tests within GitLab CI/CD pipelines.
  • Review business requirements to identify missing acceptance criteria, edge cases, and risks before development is complete.
  • Perform root cause analysis for production issues, partner with developers to resolve defects quickly, and create high-quality bug reports with clear reproduction steps and business impact.
  • Continuously improve automation coverage, test reliability, and overall QA processes.

AI-Assisted Testing:
We are transforming our platform into an AI-enabled system of intelligence, and we expect our engineers to work the same way, actively leveraging AI to:
  • Generate and improve test cases, and discover additional edge cases during exploratory testing.
  • Accelerate Playwright automation development.
  • Review requirements to identify missing scenarios, and analyze defects, logs, and regression impact.
  • Validate AI-generated outputs before incorporating them into the automation framework.

Additional Responsibilites:
  • Collaborate closely with Product Managers, Developers, Business Analysts, and fellow QA team members throughout the development lifecycle.
  • Mentor junior QA engineers and champion scalable, repeatable QA processes and reusable test architecture that improve quality as the platform grows.

Requirements
Minimum Qualifications:
  • 5+ years of experience in Software QA or SDET roles
  • Excellent manual and exploratory testing skills, with expert-level experience in Playwright
  • Strong programming experience with TypeScript or JavaScript
  • Experience testing REST APIs and validating backend integrations
  • Experience with GitLab and GitLab CI/CD, and designing scalable automation frameworks and test architecture
  • Experience working with enterprise business applications
  • Strong understanding of Agile and CI/CD practices, with excellent debugging, analytical, and root cause analysis skills
  • Ability to work independently with minimal supervision, with strong communication and collaboration skills

Preferred Qualifications:
  • Experience testing financial or accounting systems
  • Demonstrated experience using AI to improve test coverage, productivity, and software quality
  • Experience in regulated or audit-driven, multi-module enterprise software environments

Benefits
  • Salary range in the US: $120,000 - $150,000 with opportunity for discretionary bonus paid annually
  • Stock options granted at time of hire and periodically based on performance
  • Comprehensive Benefits Package

Apply