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Remote Ai Infrastructure Engineer Jobs in Raleigh, NC

You will work across Engineering, AI, Platform, Infrastructure, Digital Workplace, Security, Compliance, HR, Legal, and Product to make trust part of how 3E builds and operates. The goal is to turn ...

AI Engineer

Raleigh, NC ยท Remote

$130K - $160K/yr

AI Engineer, location is remote in the Raleigh, NC area with onsite collaboration as needed. The start date is end of July / early August for this permanent salaried position with a one-year end date.

Staff AI Engineer

Raleigh, NC ยท On-site +1

$210K - $290K/yr

If you're looking to make an impact with heart and hustle, SpotOn is the place for you. (Remote ... Required experience: * 5+ years building developer tools, infrastructure, or platform engineering ...

Staff AI Engineer

Raleigh, NC ยท Remote

$210K - $290K/yr

If you're looking to make an impact with heart and hustle, SpotOn is the place for you. (Remote ... Required experience: * 5+ years building developer tools, infrastructure, or platform engineering ...

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

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Showing results 1-20

Remote Ai Infrastructure Engineer information

See Raleigh, NC salary details

$45.2K

$123.5K

$176.9K

How much do remote ai infrastructure engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote ai infrastructure engineer in Raleigh, NC is $123,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $137,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What is a Remote AI Infrastructure Engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.

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

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.
What are the most commonly searched types of Ai Infrastructure Engineer jobs in Raleigh, NC? The most popular types of Ai Infrastructure Engineer jobs in Raleigh, NC are:
What are popular job titles related to Remote Ai Infrastructure Engineer jobs in Raleigh, NC? For Remote Ai Infrastructure Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Ai Infrastructure Engineer jobs in Raleigh, NC look for? The top searched job categories for Remote Ai Infrastructure Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Ai Infrastructure Engineer jobs? Cities near Raleigh, NC with the most Remote Ai Infrastructure Engineer job openings:
Infographic showing various Remote Ai Infrastructure Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 72% Full Time, 23% Part Time, 1% Temporary, and 4% Contract. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution, with an average salary of $123,519 per year, or $59.4 per hour.
AI Security & Trust Engineering Manager

AI Security & Trust Engineering Manager

3E

Raleigh, NC โ€ข Remote

$160K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

About 3E:

3E is a mission-driven company dedicated to creating a safer and more sustainable world. We offer award-winning regulatory intelligence and AI solutions to help organizations protect people and products. With over 35 years of experience and a global presence, we empower our customers with innovative compliance solutions.ย 

You will get to work at a company that combines startup agility with the stability of an industry leader. Partner with enterprise customers and global experts to advance environmental safety and solve complex data science challenges.

Join us and make an impact!

3E is looking for an AI Security & Trust Engineering Manager to help build a company-wide trust engineering capability across our technology organization.

This is not a traditional security manager role, and it is not a compliance-only role. The person in this seat will not simply manage a ticket queue, own audits, or wait for other teams to ask for help. This role is for someone who can drive security and trust outcomes through teams they do not directly manage.

You will work across Engineering, AI, Platform, Infrastructure, Digital Workplace, Security, Compliance, HR, Legal, and Product to make trust part of how 3E builds and operates. The goal is to turn security, AI governance, assurance, identity, and vulnerability work into repeatable systems โ€” not one-off projects or heroics.

The strongest candidate will have real technical depth in security, infrastructure, platform engineering, or AI-enabled engineering, plus the operating maturity to influence peer teams, create clarity, and move work forward without formal authority.

If you're energized by solving complex problems, embracing emerging technologies, and helping organizations adopt AI responsibly and securely, we'd love to hear from you.

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What You'll Do

As the AI Security & Trust Engineering Manager, you'll create and lead a virtual Trust Engineering capability across 3E.

Working alongside Engineering, AI, Product, Infrastructure, Security, Compliance, Digital Workplace, HR, and Legal teams, you'll ensure trust becomes an integrated part of how we buildโ€”not an afterthought.

You will:

  • Drive security and trust work through Engineering, AI, Platform, Infrastructure, Digital Workplace, Security, and Compliance teams.

  • Influence teams that do not report to you by aligning priorities, creating clarity, and making trust work easier to execute.

  • Help operationalize AI governance, security assurance, identity controls, vulnerability remediation, and customer trust practices.

  • Turn manual security and trust work into durable systems, automation, metrics, and reusable operating models.

  • Partner with technical teams to embed security and trust controls into engineering platforms, CI/CD, delivery workflows, identity systems, endpoint tooling, and AI-enabled workflows.

  • Build or guide AI-enabled workflows, agents, automations, or systems that reduce manual work and improve security operations.

  • Support continuous assurance for SOC 2 and ISO 42001, with emphasis on automation, evidence collection, and operating discipline โ€” not just audit participation.

  • Help mature engineers from task-based execution to platform and systems thinking.

  • Communicate risk in plain business language to technical and executive stakeholders.

  • Establish operating cadence, ownership models, decision rights, metrics, and leading indicators for trust outcomes.

What You'll BringRequired Qualifications
  • 6+ years in security engineering, infrastructure engineering, platform engineering, AI engineering, cloud engineering, or a closely related technical role.

  • Experience delivering system-level outcomes, not just completing isolated security tasks or supporting one-off audits.

  • Experience working directly with Engineering, DevSecOps, Platform, Infrastructure, Security, Compliance, or AI teams.

  • Experience integrating security or trust controls into engineering platforms, delivery workflows, CI/CD, identity systems, endpoint environments, or operational tooling.

  • Strong understanding of vulnerability management, identity/security tooling, security operations, and how security work moves through technical teams.

  • Experience driving outcomes through people who do not report to you.

  • Ability to create ownership models, operating cadence, metrics, and follow-through across multiple teams.

  • AI fluency beyond personal productivity use. You should be able to discuss AI-enabled workflows, agents, automation, governance, and human oversight.

  • Ability to explain complex technical risk in business terms without relying on jargon.

  • Practical leadership style: systems over heroics, automation over toil, clarity over chaos.

Preferred Qualifications
  • Built or helped operate AI-enabled security, engineering, infrastructure, support, or compliance workflows.

  • Built automation, agents, scripts, internal tools, or systems that replaced manual security or engineering work.

  • Worked with AI security risks such as prompt injection, agent risk, non-human identity risk, AI supply-chain risk, or human-over-the-loop controls.

  • Worked in a SaaS, cloud-native, platform-heavy, or highly automated technology environment.

  • Background in infrastructure, platform, cloud, identity, endpoint, or technical operations before moving deeper into security.

  • Hands-on familiarity with Okta, Microsoft Entra, Microsoft E5, Defender, MDM, SIEM/SOC tooling, ReliaQuest GreyMatter, Secureframe, or similar systems.

  • Experience with SOC 2, ISO 42001, or continuous assurance only if paired with technical execution, automation, evidence systems, or engineering partnership.

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Our US Benefits Include:

- Health, dental, and vision insurance

- Life insurance and disability coverage

- Open PTO and parental leave

- 401(k) plan with company matching

- Employee assistance program

- Voluntary supplemental benefits (Accident, Hospital Indemnity, Critical Illness)

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3E is currently authorized to hire in the following U.S. states:

Alabama, Arizona, California (excluding Los Angeles), Colorado (excluding Denver), Connecticut, Delaware, District of Columbia, Florida, Georgia, Illinois (excluding Chicago), Indiana, Kansas, Kentucky, Maryland, Massachusetts, Michigan, Minnesota, Nevada, New Jersey, New York (excluding New York City), North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, and Washington.

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Disclosures:

3E is committed to a diverse and inclusive work environment. 3E is an equal opportunity employer and does not discriminate based on any legally protected categories. For applicants who would like to request accommodation, please contact us here

Visit our Website or follow us on LinkedIn

Privacy Policy and Candidate Privacy Notice

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Agencies: 3E is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at 3E via email, the Internet, or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of 3E. No fee will be paid in the event the candidate is hired by 3E because of the referral or through other means.

Compensation Range: $160K - $175K