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

Epic Games

Principal Engineer, AI Platform

Cary, NC · On-site

$125K - $167K/yr

Our AI Platform team is building the next layer of that infrastructure - an enterprise-grade stack of agentic AI systems that automates engineering workflows, accelerates developer productivity, and ...

Pendo

Director, Data & AI Platform

Raleigh, NC · Hybrid

The Data & AI Platform team builds and maintains the trusted data infrastructure, semantic layer ... The team spans data engineering, analytics engineering, BI, and software engineering, and the edges ...

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Lead the deployment, integration, and operational support of AI platforms, tools, and services ... Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows ...

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Lead the deployment, integration, and operational support of AI platforms, tools, and services ... Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows ...

ARA

Senior AI Systems Engineer

Raleigh, NC · On-site

$92K - $126K/yr

Lead the deployment, integration, and operational support of AI platforms, tools, and services ... Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows ...

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Raleigh, NC

Ai Platform Engineer information

See Raleigh, NC salary details

$32

$62

$92

How much do ai platform engineer jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for ai platform engineer in Raleigh, NC is $62.17, according to ZipRecruiter salary data. Most workers in this role earn between $49.09 and $71.73 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

AI Platform Engineers are likely to continue to be in demand as they develop, deploy, and maintain AI systems, requiring skills in machine learning, cloud computing, and programming. Jobs that involve complex problem-solving, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled trades—are also expected to persist despite AI advancements. These roles often require human judgment and interpersonal skills that AI cannot easily replicate.

What are AI Platform Engineers?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model deployment, monitoring, and optimization in production environments.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI Platform Engineer or senior AI researcher, that offers a total compensation package including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, deep learning, cloud platforms, and extensive experience, and are usually found in leading tech companies or AI-focused organizations.

What engineer makes $500,000 a year?

Senior AI Platform Engineers or Machine Learning Engineers with extensive experience, advanced skills in cloud computing, and expertise in AI tools can earn salaries around or above $500,000 annually, especially in high-demand industries or companies. Such roles often require strong programming, data management, and system architecture knowledge, along with relevant certifications and a track record of successful projects.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.
What are popular job titles related to Ai Platform Engineer jobs in Raleigh, NC? For Ai Platform Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Platform Engineer jobs in Raleigh, NC look for? The top searched job categories for Ai Platform Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Platform Engineer jobs? Cities near Raleigh, NC with the most Ai Platform Engineer job openings:
Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $129,305 per year, or $62.2 per hour.
AI Agentic/Platform Engineer

AI Agentic/Platform Engineer

Toshiba America Business Solutions, Inc.

Raleigh, NC • On-site, Remote

$130K - $170K/yr

Full-time

Posted 12 days ago

Job description

AI Agentic/Platform Engineer

Salary Range: $130,000.00 to $170,000.00 depending on experience.

Toshiba America Business Solutions, Inc. (TABS) has an exciting AI Agentic/Platform Engineer opportunity to work remotely.

Join a global powerhouse with a 150-year heritage when you become a part of Toshiba Business Solutions. Toshiba is an industry leader in digital displays, document security and software solutions. We help businesses print smarter, work more securely, improve workflow, and communicate better. Our reputation in the industry is due in large part to the outstanding care our people provide.

Summary: The AI Platform Lead & Agentic Automation Engineer is responsible for owning and operating an enterprise,
AI-agnostic AI platform while remaining hands-on in the design, development, and support of agent-driven automations and workflows. This role establishes platform standards, architecture, and reliability while building intelligent agents that integrate with enterprise systems and deliver measurable business outcomes. The position bridges platform leadership and deep technical execution to ensure the AI platform remains scalable, secure, and adaptable to evolving technologies and business needs.

Responsibilities:

  • Own and operate an enterprise, AI-agnostic AI platform including architecture, standards, reliability, and lifecycle management to guide and facilitate communication, tool usage and collaborative problem solving.
  • Make recommendations to management as needed to improve capabilities across platforms.
  • Design, develop, and support agentic AI automations and intelligent workflows integrated with enterprise systems.
  • Build advanced RAG pipelines integrating to enhance reasoning accuracy and context retention.
  • Establish platform guardrails for security, governance, scalability, and operational support.
  • Monitor internal guardrails and oversee compliance of third-party vendors.
  • Recommend risk mitigation solutions to management as needed.
  • Partner with business and technical teams to translate workflows into agent-driven automation solutions which meet business requirements.
  • Provide consultative expertise/direction as needed.
  • Perform other related duties as assigned.

Qualifications:

  • Bachelor’s Degree (Computer Science, Engineering, Information Systems, AI/ML) or equivalent
  • A minimum of 5 years of experience in a combination of the following:
    • AI/ML engineering, intelligent automation, Enterprise AI platform architecture and lifecycle management
    • Autonomous agents, workflow orchestration, or large-scale distributed systems
    • Agentic AI systems, autonomous agents, and workflow orchestration and deployment
    • Intelligent automation, tool integration, and API‑driven workflows
    • AI‑agnostic design supporting multiple models, vendors, and frameworks
    • Python or equivalent programming for AI and automation development
    • RAG, context management, tool/function calling, and agent evaluation
    • Platform reliability, observability, and operational support
    • Secure integration with enterprise data and systems

Toshiba America Business Solutions, Inc. offers a competitive salary and generous benefits package including the following:

  • Group health coverage (medical, dental, & vision)
  • Employee Assistance Programs
  • Pre-tax spending accounts
  • 401(k) plan
  • Company provided life insurance
  • Pet Insurance
  • Employee discounts
  • Generous paid holiday schedule, paid vacation & sick/personal business/volunteer days

Toshiba America Business Solutions is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age, ancestry, color, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression and sexual orientation or any other protected factor.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Individuals who need a reasonable accommodation because of a disability for any part of the employment process should email AccommodationRequest@tabs.toshiba.com to request an accommodation.