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

Principal Architect - Enterprise AI

Durham, NC · On-site +1

$153K - $306K/yr

Qualifications • Bachelor's degree in Computer Science, Engineering, or equivalent practical ... applied AI. Pay Range Details We provide the base pay range(s) below in compliance with state ...

Principal Architect - Enterprise AI

Durham, NC · On-site +1

$126K - $244K/yr

Qualifications • Bachelor's degree in Computer Science, Engineering, or equivalent practical ... applied AI. Pay Range Details We provide the base pay range(s) below in compliance with state ...

You also serve as the Marketing pod lead, the coordination point for Applied AI, Business Systems ... The best person for this role has strong customer engineering domain knowledge, sharp analytical ...

Senior AI Security Researcher

Durham, NC · On-site

$224 - $431.25/hr

... engineering teams. The right person may come from AI security, ML security, malware data science, cyber-defense research, adversarial ML, LLM security, offensive security, threat hunting, or applied ...

Lead AI and Data Science Engineer II

Raleigh, NC · On-site

$99K - $131K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ... Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... engineering, physics, finance, and computational science applications. * Conceptual Teaching ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... engineering, physics, finance, and computational science applications. * Conceptual Teaching ...

Senior AI Security Researcher

Durham, NC · On-site

$272 - $431.25/hr

... engineering teams. The right person may come from AI security, ML security, malware data science, cyber-defense research, adversarial ML, LLM security, offensive security, threat hunting, or applied ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... engineering, physics, finance, and computational science applications. * Conceptual Teaching ...

... engineering teams. The right person may come from AI security, ML security, malware data science, cyber-defense research, adversarial ML, LLM security, offensive security, threat hunting, or applied ...

... engineering teams. The right person may come from AI security, ML security, malware data science, cyber-defense research, adversarial ML, LLM security, offensive security, threat hunting, or applied ...

Showing results 41-60

Applied Ai Engineer information

What are the key skills and qualifications needed to thrive as an applied AI engineer?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

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

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.
What are popular job titles related to Applied Ai Engineer jobs in Raleigh, NC? For Applied Ai Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Applied Ai Engineer jobs in Raleigh, NC look for? The top searched job categories for Applied Ai Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Applied Ai Engineer jobs? Cities near Raleigh, NC with the most Applied Ai Engineer job openings:
Infographic showing various Applied Ai Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 74% Full Time, 20% Part Time, and 6% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.

Principal Architect - Enterprise AI

Bitovi

Durham, NC • On-site, Remote

$153K - $306K/yr

Full-time

Medical, Life, PTO

Re-posted 5 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

Role Summary
As a Principal Architect, Enterprise AI, you will shape how Avalara adopts AI across the enterprise. You will turn new AI capabilities and validated pilots into scalable architecture standards, reusable patterns, decision frameworks, and governance guardrails.
This is a senior individual contributor role reporting to the VP of Enterprise AI Transformation. While you will influence teams across the organization, you will not have direct people management responsibilities.
You will combine strategic enterprise architecture with hands-on AI exploration. You will stay current with advances in AI, personally test new models, agent frameworks, copilots, and tools, and translate their potential into practical architectural guidance. You will help shorten the path from discovering a new AI capability to using it productively, responsibly, and safely at scale.
You will have a full-time remote opportunity with Avalara based in the United States of America.
Responsibilities
• Define and maintain enterprise architecture standards, reference patterns, and governance guardrails for AI-enabled solutions moving from pilot to production.
• Establish decision models for build, buy, or integrate choices; model and vendor selection; data access; security; and responsible AI adoption.
• Design scalable architecture patterns for AI-enabled workflows and agentic processes across data, APIs, identity, security, and cloud platforms.
• Test new AI models, LLMs, agent frameworks, and tools to inform enterprise adoption.
• Design proof-of-concepts, define success criteria, and guide solutions from pilot to production.
• Lead architecture reviews and communicate trade-offs, risks, and growth to partners.
• Partner with teams to translate needs into governed, implementation-ready solutions.
• Ensure teams through demos, workshops, and reusable templates to support safe AI adoption.
Qualifications
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• 10+ years of experience in enterprise, solution, or platform architecture, including architecture standards, reference patterns, and governance frameworks.
• Platform architecture experience across integrations, data, cloud infrastructure, APIs, identity, and security.
• Hands-on experience building and prototyping with modern AI/LLM tools, APIs, and agent frameworks.
• Experience with enterprise architecture frameworks such as TOGAF or equivalent.
• Experience with AWS, Azure, or GCP and associated AI/ML services.
• Experience guiding teams and executive decision-making.
• Experience with AI enablement programs, workshops, or communities of practice.
• Experience architecting automation, integration, or orchestration platforms such as n8n, Boomi, MuleSoft, or Workato.
• Public writing, speaking, or open-source contributions related to applied AI.
Pay Range Details
We provide the base pay range(s) below in compliance with state specific laws. Pay ranges may be different in other locations.
Colorado $153,300-$203,100 (annually)
Washington $153,300-$279,600 (annually)
California $153,300-$306,300 (annually)
NYC $185,500-$306,300 (annually)
The pay range above is the general base pay range for you in the state listed. We base your actual salary/wage on multiple factors, such as geographic location, candidate experience and qualifications, and market and business considerations. This role is eligible for an annual bonus based on personal and company performance, depending on the terms of the applicable plan and your role.
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.