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Masters In Artificial Intelligence Jobs in Atlanta, GA

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Senior Backend Engineer

Atlanta, GA · On-site

$100 - $150/hr

English and French read, written and spoken Core Competencies Proficient in developing embedded Java microservices and IoT solutions, with a strong foundation in artificial intelligence product ...

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Masters In Artificial Intelligence information

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.

What are the key skills and qualifications needed to thrive with a masters in artificial intelligence?

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 masters 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.

Is it worth doing a master's in artificial intelligence?

A master's in artificial intelligence prepares individuals for roles such as AI engineer or data scientist, offering advanced knowledge in machine learning, programming, and data analysis. It can improve job prospects and earning potential, especially in industries adopting AI technologies, but the value depends on career goals and industry demand.

What can I do with a master's in artificial intelligence?

A master's in artificial intelligence prepares graduates for roles such as AI engineer, data scientist, machine learning engineer, or research scientist. These positions involve developing algorithms, building models, and applying AI techniques using tools like Python, TensorFlow, or PyTorch in various industries including tech, healthcare, finance, and robotics.

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For Masters In Artificial Intelligence jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Masters In Artificial Intelligence jobs in Atlanta, GA look for?

The top searched job categories for Masters In Artificial Intelligence jobs in Atlanta, GA are:

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Cities near Atlanta, GA with the most Masters In Artificial Intelligence job openings:

Masters In Artificial Intelligence jobs near you
Infographic showing various Masters In Artificial Intelligence job openings in Atlanta, GA as of August 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 86% In-person, and 14% Remote job distribution.

Product Owner, Artificial Intelligence

Evergreen

Atlanta, GA • On-site

Full-time

Re-posted 3 days ago

Job description

Overview
As Product Owner for Evergreen.AI, you will guide the vision, roadmap, and delivery of the Agent Foundry Data Platform. This platform supports the core mission of Evergreen.AI, which is to incubate, deliver, and scale real world agentic AI solutions. Your work will help teams build enterprise ready systems that combine agents, workflows, knowledge pipelines, evaluations, and secure cloud deployment. You will translate business needs into clear product direction, maintain a healthy backlog, and partner with architects, engineers, and AI specialists to move work from concept into production.
Responsibilities
Product Ownership and Strategy
  • Define the product vision and roadmap for the Agent Foundry Data Platform.
  • Translate customer conversations, business goals, and user problems into clear priorities.
  • Connect the roadmap to the broader mission of Evergreen.AI.

Backlog Management and Agile Delivery
  • Own the product backlog and write simple, clear, and detailed user stories.
  • Prioritize features based on business value, user impact, and technical effort.
  • Lead sprint ceremonies in a collaborative way.

Stakeholder Partnership and Communication
  • Work with executives, engineers, delivery teams, and users to understand requirements.
  • Share updates, risks, and tradeoffs in a clear and honest manner.
  • Represent the voice of the customer and keep teams aligned.

Platform Quality, Governance, and Performance
  • Track KPIs, usage, adoption, and performance.
  • Ensure features meet security, scalability, compliance, and reliability standards.
  • Support production readiness through documentation and validation.

Team Collaboration, Culture, and Growth
  • Encourage positive teamwork and open communication.
  • Approach challenges with curiosity and resilience.
  • Foster a culture of learning and improvement.

Qualifications
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Business with a technology focus, or equivalent experience.
  • 5+ years as a Product Owner or Product Manager.
  • Experience delivering SaaS platforms, AI or machine learning products, or enterprise data systems.
  • Familiarity with Agile and Scrum practices and tools like Azure DevOps or Jira.
  • Strong understanding of cloud technologies, with preference for Azure.
  • Clear communication skills and ability to work across diverse stakeholders.
  • Comfort working with architects and engineers in technical discussions.

Preferred Qualifications
  • Master's degree such as an MBA or graduate degree in CS, IS, Data, or Technology Management.
  • Background in AI, machine learning, synthetic data, or data platforms.
  • Experience with Microsoft Azure AI and DevOps pipelines.
  • Product management certifications such as CSPO or Pragmatic.
  • Familiarity with multi agent systems, evaluation frameworks, or knowledge pipelines.

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