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

Studycast

Automation Engineer

Raleigh, NC · On-site

... The Automation Engineer is responsible for building the technical foundation of our customer ... AI-assisted workflow. * Technical Foundation: Comfortable with Python, SQL, and APIs, and an ...

SAS

Sr Software Developer- AI & Automation Solutions

Cary, NC · On-site +1

$51 - $67.25/hr

Senior Software Developer - AI & Automation Solutions- Hybrid, Cary, North Carolina or Remote in the US We're a leader in data and AI. Through our software and services, we inspire customers around ...

SAS

Sr Software Developer- AI & Automation Solutions

Cary, NC · On-site +1

$51 - $67.25/hr

Senior Software Developer - AI & Automation Solutions- Hybrid, Cary, North Carolina or Remote in the US We're a leader in data and AI. Through our software and services, we inspire customers around ...

Amphenol TCS

AI Lead

Raleigh, NC · On-site

... automation, copilots, agents, and workflow-enabled capabilities across engineering, operations, quality, supply chain, finance, and commercial functions. The AI Lead will partner closely with the ...

Relias US

Manager, AI and Automation

Morrisville, NC · Hybrid

AI and Automation Shared-Service Product Ownership Own the enterprise AI and automation intake ... Experience managing workflow automation developers, business process analysts, data analysts, data ...

Lnw

Test Automation Architect

Raleigh, NC

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 ...

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Showing results 21-40

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 Aug 7, 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 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.

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 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 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 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $104,130 per year, or $50.1 per hour.

Automation Engineer

Studycast

Raleigh, NC • On-site

Full-time

Re-posted 19 days ago

Job description

About Studycast
Studycast, a PSG company, is redefining the future of medical imaging through innovative, cloud-based technology. Our flagship platform, Studycast®, is a comprehensive PACS solution designed to enhance operational efficiency, reduce costs, and accelerate the delivery of patient care.
Studycast seamlessly integrates the entire imaging workflow - from EMR to exam, to report, and back to EMR - within a secure, cloud-based environment. Its intuitive interface enables clinicians to view diagnostic-quality images and generate structured reports anytime, anywhere, ensuring timely and informed clinical decisions. Join us in transforming how healthcare professionals manage and share imaging data through innovation, reliability, and cloud technology.
Join us in transforming how healthcare professionals manage and share imaging data through innovation, reliability, and cloud technology
About the role
The Automation Engineer is responsible for building the technical foundation of our customer experience organization. In this role, you'll identify manual, repetitive work across how we onboard, support, and retain customers - and help engineer better solutions. You'll work on tools, integrations, and automated workflows that make our team more efficient and our customers more self-sufficient. This is a hands-on builder role where you'll grow your skills across real production systems with meaningful impact from day one.
Key Responsibilities
Process and Workflow Automation: Partner with the Customer Success and Support teams to identify manual processes and build automated replacements that are reliable and easy to maintain.
Example projects:
  • Guided onboarding workflows that walk new customers through implementation steps and reduce back-and-forth between the customer and our internal team.
  • Automated validation of client data during implementation to help customers complete configuration steps more independently.
  • Personalized outreach to accounts showing usage gaps, triggered by predefined signals.
  • Automated collection and categorization of customer feedback across support channels.

Internal Tool Development: Build and maintain the internal tools our team uses daily, from data queries to deployed applications.
Example projects:
  • A consolidated dashboard showing account health, support queue status, onboarding stage, and renewal risk.
  • Alerting logic that routes the right signal to the right person with a recommended next action.
  • Account briefings that give the success team context before engaging a flagged customer.

Systems Integration: Connect data sources through APIs so that customer's information flows across the organization without manual data entry or duplication.
Example projects:
  • A unified account view joining product usage, support history, and billing data.
  • Real-time sync between the support platform and implementation tracking.

Customer Self-Service and Signal Detection: Contribute to customer-facing tools and monitoring systems that surface early warning signals from usage and support data.
Example projects:
  • A self-service portal where administrators can run configuration changes and pull usage reports independently.
  • An automated assistant grounded in product documentation and support history that resolves common technical queries without human escalation.
  • A risk identification system that surfaces at-risk accounts before the renewal window, drawing on usage, support, and billing signals.

Required Qualifications
  • A degree in Computer Science, Information Systems, Engineering, or a related field - or equivalent hands-on experience.
  • 1-3 years of experience writing and deploying scripts, automations, or integrations in a real environment (internships, freelance work, or personal projects count).
  • Proficient in Python and SQL: with the ability to write queries, build basic scripts, and troubleshoot when something breaks.
  • Experience connecting to APIs and working with external data sources.
  • Eagerness to own projects end-to-end and see them through production.

Skills and Competencies
  • Process Thinking: Ability to look at a manual workflow and identify what should be automated versus what needs a human.
  • Tool Curiosity: Willingness to explore the right tool for each job - whether that's a script, a low-code platform, or an AI-assisted workflow.
  • Technical Foundation: Comfortable with Python, SQL, and APIs, and an understanding of what your tools are used under the hood.
  • Customer Empathy: Build with the end user in mind and care about whether what you ship actually helps.
  • Ownership Mindset: Follow through on what you build and take responsibility for how it performs.

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