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Masters In Artificial Intelligence Jobs in Raleigh, NC

MTSS

Artificial Intelligence Engineer

Durham, NC · Remote

$107K - $146.90K/yr

Artificial Intelligence Engineer Professional Summary Our direct client is seeking a Senior AI Engineer with deep expertise in infrastructure engineering, full-stack development, and AI-driven ...

Almac Group

AI Software Engineer

Durham, NC · On-site

Masters in Artificial Intelligence * Experience and/or understanding of AI services, for example Microsoft Azure and AWS * Experience and/or understanding of agile software development frameworks (e ...

Deloitte

AI Solutions Architect

Raleigh, NC · On-site

$61.25 - $80.75/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

VAST Data

Linux Kernel Developer

Raleigh, NC · On-site

... in artificial intelligence. "VAST's data management vision is the future of the market."- Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software ...

VAST Data

Linux Kernel Developer

Raleigh, NC · On-site

... in artificial intelligence. "VAST's data management vision is the future of the market."- Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software ...

Nvidia

Senior Site Reliability Engineer - HPC

Durham, NC

$55 - $73.25/hr

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern ...

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Masters In Artificial Intelligence information

What are the key skills and qualifications needed to thrive with a Master's in Artificial Intelligence, and why are they important?

To thrive with a Master's in Artificial Intelligence, you need a solid background in mathematics, programming (often Python), and machine learning principles, supported by an advanced degree in AI or a related field. Familiarity with tools such as TensorFlow, PyTorch, and cloud computing platforms, as well as knowledge of data analysis and visualization systems, is typically required. Strong problem-solving abilities, creativity, and effective communication skills help you design solutions and present technical concepts to diverse audiences. These competencies are crucial for developing innovative AI systems, collaborating across teams, and driving impactful technology projects.

How does earning a Master's in Artificial Intelligence impact opportunities for interdisciplinary collaboration in professional settings?

A Master's in Artificial Intelligence uniquely positions professionals to collaborate across diverse teams, including data scientists, software engineers, and domain experts in areas like healthcare, finance, or manufacturing. Graduates often find themselves bridging gaps between technical and non-technical stakeholders, translating complex AI concepts into actionable business solutions. This interdisciplinary environment enhances problem-solving skills and offers exposure to a wide range of real-world challenges, fostering both personal and career growth. Such collaboration is highly valued by employers, as it drives innovative solutions and helps integrate AI technologies into various industries.

What is a Masters in Artificial Intelligence?

A Masters in Artificial Intelligence is a graduate-level degree program that focuses on teaching students advanced concepts and techniques in AI, including machine learning, deep learning, natural language processing, robotics, and data science. The program is designed to equip students with both theoretical knowledge and practical skills needed to develop intelligent systems and solve real-world problems using AI technologies. Graduates are prepared for careers in industries such as technology, healthcare, finance, and academia, or for pursuing further research in the field.
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Masters In Artificial Intelligence jobs near you

Artificial Intelligence Engineer

MTSS

Durham, NC • Remote

$107K - $146.90K/yr

Contractor

Posted 5 days ago

Job description

Artificial Intelligence Engineer
Professional Summary

Our direct client is seeking a Senior AI Engineer with deep expertise in infrastructure engineering, full-stack development, and AI-driven workflow automation. Proven experience building complex, enterprise-grade platforms that integrate generative AI, event-driven architecture, and cloud-native services to power intelligent business processes.

Project Experience

AI Platform Development & Architecture

  • Designed and led development of a new AI-driven product workflow platform to automate complex customer response processes (including RFP automation).

  • Architected systems that synthesize structured product requirements using large language models, including ChatGPT-based workflows.

  • Guided AI-assisted coding environments, overseeing complex system orchestration where coding assistants generated significant portions of production code.

  • Designed and implemented event-driven architecture to support scalable, distributed workflows.

  • Integrated healthcare interoperability standards including FHIR and HL7 data interchange specifications.

  • Participated in customer-facing implementations, including potential on-site builds and deployment support.

Technical Expertise

Full-Stack & Infrastructure

  • Expert-level understanding of infrastructure-as-code principles

  • Advanced front-end development using React

  • Strong backend development in Python, focused on AI workflows and AI agents

  • Deep knowledge of system design for scalable, distributed architectures

AI & Workflow Automation

  • AI workflow orchestration and agent-based systems

  • Advanced use of ChatGPT and LLM tooling

  • Experience leveraging coding assistants (Cursor, Claude modules) across the development lifecycle

Cloud & DevOps

  • Expert-level knowledge of AWS, including:

    • DynamoDB

    • EventBridge

    • RabbitMQ

    • Middleware services

    • VPC architecture and networking

  • CI/CD pipeline design and implementation

Domain Knowledge

  • Experience in Life Sciences environments (preferred/ideal exposure)

  • Understanding of healthcare data standards (FHIR, HL7)

Additional Information
  • Remote role (United States-based
  • U.S. Citizen / Green Card Holder
  • To ensure a fair and secure hiring process, candidates must complete live video interviews with cameras on and present valid government-issued identification during the process. All interviews are conducted directly with our internal team — proxy interviewing is not permitted.
  • Candidates must represent themselves throughout the entire interview process. Third-party representation, coaching during interviews, or substituted participation will result in immediate disqualification.