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Ai Implementation Jobs in Raleigh, NC (NOW HIRING)

AI Automation Engineer V

Durham, NC · Remote

$126K - $244K/yr

Implement observability, monitoring, and performance measurement practices for both traditional and AI-driven workflows. * Lead technical design reviews, workflow assessments, and post-incident ...

Senior AI Systems Engineer

Raleigh, NC · On-site

$92K - $126K/yr

Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams. * Operationalize machine learning workflows and support AI-enabled applications ...

AI Automation Engineer V

Durham, NC · On-site +1

$126K - $244K/yr

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 ...

AI Software Developer

Raleigh, NC · On-site

$100 - $125/hr

Direct and supervise AI coding agents to plan, implement, test, and ship production features end‑to‑end -- reviewing and verifying AI output, not blindly trusting it. * Build and maintain ...

... implementing compliance processes, and provide counsel to diverse client groups regarding legal and regulatory matters relating to artificial intelligence generally. Lenovo's AI Legal Team is ...

New

This role exists to translate complex business workflows into well-defined, implementation-ready requirements for AI-enabled automation, agentic workflows, and transformation initiatives that improve ...

This role exists to translate complex business workflows into well-defined, implementation-ready requirements for AI-enabled automation, agentic workflows, and transformation initiatives that improve ...

This role exists to translate complex business workflows into well-defined, implementation-ready requirements for AI-enabled automation, agentic workflows, and transformation initiatives that improve ...

Key Responsibilities • Leverage advanced data science and analytical skills to extract insights from complex datasets. • Design, develop, implement, evaluate, and validate machine learning and AI ...

Showing results 41-60

Ai Implementation information

See Raleigh, NC salary details

$37.9K

$100.6K

$163.3K

How much do ai implementation jobs pay per year?

As of Sep 8, 2026, the average yearly pay for ai implementation in Raleigh, NC is $100,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,400.00 and $117,600.00 per year, depending on experience, location, and employer.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What are popular job titles related to Ai Implementation jobs in Raleigh, NC?

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

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

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

Infographic showing various Ai Implementation job openings in Raleigh, NC as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $100,628 per year, or $48.4 per hour.

AI Automation Engineer V

Durham, NC • Remote

Bitovi
Software Development • 11 - 50 employees

$126K - $244K/yr

Full-time

Medical, Life, PTO

Re-posted 4 days ago


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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