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Remote Embedded Ai Jobs in Raleigh, NC (NOW HIRING)

Principal Architect - Enterprise AI

Durham, NC ยท Remote

$126K - $244K/yr

You will have a full-time remote opportunity with Avalara based in the United States of America ... Avalara is an AI-first Company AI is embedded in our workflows, decision-making, and products.

Principal Architect - Enterprise AI

Durham, NC ยท Remote

$153K - $306K/yr

You will have a full-time remote opportunity with Avalara based in the United States of America ... Avalara is an AI-first Company AI is embedded in our workflows, decision-making, and products.

Principal Architect - Enterprise AI

Durham, NC ยท On-site +1

$126K - $244K/yr

You will have a full time remote opportunity with Avalara based in the United States of America ... Avalara is an AI-first Company AI is embedded in our workflows, decision-making, and products.

Principal Architect - Enterprise AI

Durham, NC ยท On-site +1

$153K - $306K/yr

You will have a full time remote opportunity with Avalara based in the United States of America ... Avalara is an AI-first Company AI is embedded in our workflows, decision-making, and products.

You will work closely with our leadership team to ensure security is embedded into every aspect of ... Stay ahead of emerging cybersecurity threats, AI risks and industry best practices. Risk Management ...

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets and AI-assisted development practices. These capabilities are becoming increasingly embedded across ...

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets and AI-assisted development practices. These capabilities are becoming increasingly embedded across ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

Senior Product Manager

Raleigh, NC ยท On-site +1

$123K - $162K/yr

... AI-assisted workflows directly into the product experience. This team is embedded in its own ... This role is based in Raleigh, NC (primary), with New York, NY and East Coast remote candidates ...

Sr. Product Manager

Raleigh, NC ยท On-site +1

$123K - $162K/yr

... AI-assisted workflows directly into the product experience. This team is embedded in its own ... This role is based in Raleigh, NC (primary), with New York, NY and East Coast remote candidates ...

The Team + The Role Pendo is rebuilding for the AI era, with new products, new buyers, and new ways ... This is a role based in-office in Raleigh or New York, or Remote in the East Coast. What this looks ...

Remote Embedded Ai information

See Raleigh, NC salary details

$68K

$149.1K

$169.1K

How much do remote embedded ai jobs pay per year?

As of Aug 1, 2026, the average yearly pay for remote embedded ai in Raleigh, NC is $149,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,800.00 and $168,200.00 per year, depending on experience, location, and employer.

What is a Remote Embedded AI engineer?

A Remote Embedded AI engineer is a professional who develops and integrates artificial intelligence (AI) algorithms into embedded systems, such as IoT devices, sensors, or smart appliances, while working from a remote location. Their role involves optimizing AI models to run efficiently on hardware with limited resources, ensuring reliable performance and low power consumption. These engineers typically collaborate with cross-functional teams to deliver intelligent, connected products, leveraging skills in machine learning, software development, and embedded hardware. Working remotely allows them to contribute to global projects without being tied to a specific office location.

What is the difference between Remote Embedded Ai vs Remote Machine Learning Engineer?

AspectRemote Embedded AiRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with embedded systemsBachelor's or higher in Computer Science, Data Science, or related fields; strong programming and statistical skills
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsCloud platforms, data centers, software development environments
Industry UsageConsumer electronics, automotive, industrial IoTTech companies, finance, healthcare, research
Common Search/ComparisonYesNo

Remote Embedded Ai professionals focus on developing AI algorithms for embedded hardware and real-time systems, often working with IoT devices and specialized hardware. In contrast, Remote Machine Learning Engineers primarily develop models in cloud environments for data analysis and prediction. While both roles require strong programming skills, Embedded Ai emphasizes hardware integration, whereas Machine Learning Engineers focus on scalable model deployment.

What are some common challenges faced by Remote Embedded AI Engineers, and how can they be overcome?

Remote Embedded AI Engineers often encounter challenges such as limited access to hardware for testing, asynchronous communication with distributed teams, and integrating AI models within resource-constrained embedded systems. Overcoming these challenges involves utilizing remote debugging tools, setting up robust simulation environments, and maintaining clear, regular communication with team members. Collaboration platforms and thorough documentation help ensure smooth coordination, while staying updated on best practices in embedded AI can address technical limitations.

What are the key skills and qualifications needed to thrive as a Remote Embedded AI Engineer, and why are they important?

To thrive as a Remote Embedded AI Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++, Python, or TensorFlow Lite, often supported by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), edge AI development platforms, and version control tools such as Git is typically required. Strong problem-solving skills, effective remote communication, and self-motivation help you excel in collaborative yet independent work environments. These competencies are crucial for building efficient, innovative AI solutions on hardware platforms while ensuring seamless teamwork across distributed teams.
What job categories do people searching Remote Embedded Ai jobs in Raleigh, NC look for? The top searched job categories for Remote Embedded Ai jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Embedded Ai jobs? Cities near Raleigh, NC with the most Remote Embedded Ai job openings:
Infographic showing various Remote Embedded Ai job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $149,101 per year, or $71.7 per hour.

Principal Architect - Enterprise AI

Bitovi

Durham, NC โ€ข Remote

$126K - $244K/yr

Full-time

Medical, Life, PTO

Posted 10 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.

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