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

AI Automation Engineer V

Durham, NC · Remote

$126K - $244K/yr

What You'll Do As an AI Automation Engineer, you will help shape how work is automated, orchestrated, and improved across Avalara. You will lead the design and engineering of scalable AI powered ...

AI Automation Engineer V

Durham, NC · On-site +1

$126K - $244K/yr

What You'll Do As an AI Automation Engineer, you will help shape how work is automated, orchestrated, and improved across Avalara. You will lead the design and engineering of scalable AI powered ...

Partner with stakeholders and AI Automation Engineers to gather, analyze, and document AI automation requirements that reduce ambiguity and downstream rework * Map and document current-state and ...

Partner with stakeholders and AI Automation Engineers to gather, analyze, and document AI automation requirements that reduce ambiguity and downstream rework * Map and document current-state and ...

Raleigh, NC The Automation Engineer will support the AI Solutions & Automation pillar by designing, building, and maintaining workflow automations, system-connected business processes, alerts, task ...

Lead Test Automation Engineer

Durham, NC

$44.50 - $58.75/hr

Across every role, we harness data and AI to work smarter, move faster and create breakthrough ... Partner with DevOps to integrate automation into CI/CD. * Support team members with technical ...

Lead Test Automation Engineer

Durham, NC · On-site

$44.50 - $58.75/hr

Across every role, we harness data and AI to work smarter, move faster and create breakthrough ... Partner with DevOps to integrate automation into CI/CD. * Support team members with technical ...

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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 cities near Raleigh, NC are hiring for Ai Automation Engineer jobs? Cities near Raleigh, NC with the most Ai Automation Engineer job openings:
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.

AI Automation Engineer V

Bitovi

Durham, NC • Remote

$126K - $244K/yr

Full-time

Medical, Life, PTO

Re-posted yesterday


Job description

PLEASE NOTE: Bitovi has been engaged by Avalara to lead initial and technical interviews for this role. While Bitovi will conduct the early rounds, the final interview and hiring decision will be made by Avalara directly.

What You'll Do

As an AI Automation Engineer, you will help shape how work is automated, orchestrated, and improved across Avalara. You will lead the design and engineering of scalable AI powered automation solutions, using n8n as a core orchestration platform to improve productivity, quality, and operational scale. This is a highly visible individual contributor role that combines hands on engineering, platform ownership, and technical leadership to accelerate business transformation across the organization. You will partner with teams across Avalara to embed intelligent workflows, AI agents, and data-driven decisioning into business processes while establishing standards that enable secure, reliable, and measurable automation. This role reports to the Sr Manager, Enterprise Systems.

This is a full-time role with Avalara, offering a fully remote work arrangement.

What Your Responsibilities Will Be

• Own and help execute Avalara's enterprise AI automation and transformation strategy, with n8n serving as a core workflow orchestration platform

• Design and build scalable & secure automation solutions that reduce manual work and improve business process efficiency

• Develop AI-enabled workflows, intelligent agents, and decisioning frameworks that support business transformation across multiple functions

• Architect API-first and event-driven integrations that connect enterprise systems, automation platforms, and AI services

• Establish platform standards for development, deployment, monitoring, reliability, and governance across automation initiatives.

• Define and maintain CI/CD processes, environment strategies, and release practices that improve automation quality and delivery speed

• Create reusable automation frameworks, workflow templates, prompt patterns, and AI agent accelerators that increase consistency and reuse

• Implement observability, monitoring, and performance measurement practices for both traditional and AI-driven workflows.

• Lead technical design reviews, workflow assessments, and post-incident reviews to improve platform reliability and operational excellence

• Mentor engineers and implementation partners while promoting best practices for AI automation, agent orchestration, responsible AI, and workflow engineering

What You’ll Need To Be Successful

• Bachelor's degree in computer science, Engineering, or a related field and 10+ years of experience in enterprise automation, workflow engineering, integration engineering, or platform architecture

• Deep hands-on experience with n8n or Boomi, including designing and operating enterprise automation solutions and AI-enabled workflows

• Strong expertise in API-first and event-driven architectures, REST APIs, webhooks, OAuth, JWT, and secure integration practices

• Experience implementing CI/CD, automation governance, observability, and reliability practices across enterprise-scale platforms

• Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform, including AI and machine learning services and large language model integrations

• Demonstrated ability to identify high-value AI automation opportunities, build AI-enabled solutions responsibly, measure business impact, influence technical direction, and raise engineering standards through mentorship and leadership.

12-Month Success Signals

Within the first 12 months, this role will have:

• Enabled AI-native automation capabilities, including production-grade AI agents integrated into core workflows

• Improved automation reliability and reduced workflow failure rates and/or MTTR

• Standardized automation patterns, including AI-enabled orchestration patterns, adopted across new transformation initiatives

• Implemented measurable observability, including AI performance, business impact, and cost metrics

• Delivered AI-driven automation use cases that reduce manual effort, improve decision-making, or shorten process cycle time across multiple functions

• Raised execution standards across the automation team through mentorship, technical leadership, and AI capability development

Avalara is an AI-first Company AI Expectations

As an AI-first company, Avalara expects this role to embed AI into how automation and transformation work is designed and executed.

This role will:

• Design and implement AI-enabled workflows and transformation patterns that materially improve speed, automation, and scale

• Use AI tools to optimize development productivity, workflow diagnostics, process analysis, and root-cause investigation

• Identify high-value AI automation opportunities tied to efficiency, reliability, employee experience, or customer impact

• Apply AI responsibly with appropriate governance, security, and risk considerations

• Elevate AI capability across the automation team by sharing best practices and driving measurable adoption This role must demonstrate applied AI impact — not casual tool usage — and measure improvements enabled by AI-driven automation and transformation.

Avalara is an AI-first Company

AI is embedded in our workflows, decision-making, and products.  Success here requires embracing AI as an essential capability.

  • You’ll bring experience using AI and AI-related technologies, ready to thrive here.

  • You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.

  • You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.

How We’ll Take Care Of You

Total Rewards 

In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. 

Health & Wellness 
Benefits vary by location but generally include private medical, life, and disability insurance. 

Inclusive culture and diversity 
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. 

What You Need To Know About Avalara

We’re defining the relationship between tax and tech.

We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world.

We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too.

We’re An Equal Opportunity Employer

Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.

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