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Artificial intelligence (AI) is shaping nearly every industry, from healthcare and finance to entertainment and education — and despite fears about it replacing jobs, in fact, it’s opening up a wide range of career paths for those with the right skills. Demand for artificial intelligence jobs continues to grow across every major sector.  

The field of artificial intelligence offers diverse for professionals skilled in developing, applying, and managing AI technologies. There's a rising need for individuals interested in building intelligent systems, interpreting complex data, or designing tools that enhance human decision-making.  

Dive into 12 exciting and in-demand career paths in artificial intelligence, what each role involves, and why they’re worth considering if you’re planning your next move in tech. 

12 Top Careers in Artificial Intelligence to Consider 

No matter if you’re new to tech or looking to take your next step, this section highlights some of the most compelling roles in AI today. Each artificial intelligence job spotlights what the work entails, the skills and education you’ll need, and why employers are eager to hire. From hands‑on technical roles to ethics, strategy, and design, this list shows just how diverse a career in artificial intelligence can be. Let’s break them down one by one. 

1. Machine Learning Engineer 

Machine learning (ML) engineers build and deploy AI models that can learn from data and operate reliably in production environments. Here are some quick points about this role:  

• According to ​​, the average base salary as of July 2025 was sitting around $172,000, and top offers regularly push into six figures.  

• The United States (BLS) projects 26% growth in related computer science occupations through 2033.  

• Day‑to‑day duties include designing feature pipelines, testing and tuning models (often using tools like TensorFlow or PyTorch), and collaborating with software engineers to integrate AI into live systems.  

2. Data Scientist 

Data scientists sit between analytics and AI: They explore datasets, engineer features, and prototype predictive models. Many data scientists are also tapped for machine learning work and help translate business problems into algorithmic solutions.  

Growth remains strong as businesses lean into data‑driven decision‑making. Depending on experience and industry, the earn a median annual salary of $112,590, with a promising job outlook of 36% growth between 2023 and 2033. The role demands strong statistics, programming (e.g., Python/R), and visualization skills, plus the ability to communicate insights clearly to non‑technical stakeholders.  

3. AI Research Scientist 

AI research scientists focus on pushing the boundaries of the field through original research in areas like deep learning, generative models, or reinforcement learning. They often hold advanced degrees (master’s or Ph.D.) in computer science or a related discipline. These roles are among the highest‑paying in the AI space — with total compensation potentially reaching into the low millions — especially at elite firms like . Their work typically appears in academic publications or drives next‑generation products. 

4. Robotics Engineer 

design systems that combine hardware and AI to sense, plan, and act in the physical world — think autonomous vehicles, industrial robots, or medical devices. They draw on computer vision, control systems, sensor integration, and real‑time systems. Merging software, hardware, and physical engineering, this role is highly technical and multidisciplinary. Compensation is strong, particularly in sectors like automotive and logistics where automation is booming. 

5. Business Intelligence Developer 

Business intelligence (BI) developers use AI and analytics tools (like Power BI, Tableau, or automated analytics platforms) to help organizations make smarter decisions. They create dashboards, data models, and reporting systems that highlight key trends and forecasts. While not as technical as full ML engineers, these roles bridge business and data. Salaries typically range between approximately , rising with domain expertise. As companies seek predictive insights, this career is becoming increasingly strategic. 

6. AI Software Developer 

AI software developers write applications, tools, or platforms that embed AI features — such as recommendation engines, voice assistants, or chatbots. They work closely with ML engineers and data scientists to integrate models, APIs, and software interfaces. In many organizations, this role requires strong software engineering fundamentals and a solid understanding of ML principles, along with tools like Flask, REST APIs, or cloud infrastructures such as AWS or Azure. Compensation is competitive: an of around $164,000 per year (as of July 2025), with a high-end range of approximately $290,000 depending on seniority and specialization. 

7. Natural Language Processing (NLP) Engineer 

NLP engineers design systems that process human language, like translation tools, chatbots, or summarization engines. They work with large , train or fine‑tune transformer models, and build pipelines for speech recognition or semantic analysis. NLP roles typically offer strong salary ranges similar to ML engineers, especially when specialized in deep learning techniques. Key skills include Python, tensor libraries, and experience with topics like tokenization or attention mechanisms. 

8. Computer Vision Engineer 

Computer vision engineers focus on enabling machines to interpret visual data (images or video) using techniques like object detection as well as segmentation and classification. They build models for autonomous vehicles, medical imaging, or security systems. This role combines deep learning, image processing, and application deployment and often commands salaries in the same premium range as NLP or ML engineers. Vision specialists are in demand where real‑time or high‑accuracy perception is essential. As of 2025, reports a median total pay of $159,000 for Computer vision engineers. 

9. AI Data Analyst 

An AI data analyst supports decision‑making by analyzing datasets using AI‑powered tools and methods. They might clean data, run exploratory analyses, and generate predictive insights using pre‑built models or automated platforms. These roles serve as entry points for people transitioning into AI, with typical salaries ranging from $68,000 to $112,000 per year and an of around $87,000. Top earners can make upwards of $120,000 annually. Strong Excel, SQL, and some familiarity with AI dashboards or AutoML platforms are useful. 

10. AI Project Manager 

Artificial intelligence project managers coordinate AI initiatives from conception through delivery. They bring together stakeholders, technical teams, and product owners to define scope, schedule, and success metrics. Expertise in AI helps them translate technical constraints into realistic timelines and outcomes. Although less technical, strong project management and communication skills are critical. As of July 2025, average around $103,000 per year but can reach as high as $162,000, especially in enterprises where AI projects are high‑stakes and strategic. 

11. AI Ethics Specialist 

ensure AI systems are designed and deployed responsibly — addressing issues like bias, fairness, transparency, and accountability. They may develop ethical frameworks, review datasets for bias, and advise on regulations or standards. As noted in recent reporting, this role is growing rapidly across industries. They often have backgrounds in philosophy, law, policy, or social sciences, combined with education in AI or data governance. Compensation varies but is rising as organizations prioritize trust and compliance. 

12. AI Product Designer 

As companies adopt AI, there is demand for designers who can translate technical capabilities into user value. Artificial intelligence product designers focus on how people interact with AI-powered tools, defining the user experience (UX), interface design (UI), and product logic. They ensure AI features are intuitive, transparent, and aligned with user needs. Often called AI UX/UI or product designers, these professionals play a central role in shaping products such as chatbots, or voice assistants.  

Skill Sets Required for AI Careers 

Breaking into artificial intelligence takes more than just curiosity; it calls for a strong mix of technical ability, domain knowledge, and adaptability. While some roles demand advanced degrees, many careers in artificial intelligence are accessible with the right combination of training and hands-on experience. To select the ideal career path in artificial intelligence and begin developing your , it's important to understand which abilities are necessary — regardless of whether your goal is to code models or manage projects. 

Core Technical Skills 

Most AI roles require or benefit from:  

• A solid foundation in programming, with Python being the most commonly used language thanks to its AI-focused libraries like TensorFlow, PyTorch, and scikit-learn.  

• A firm grasp of statistics, linear algebra, and calculus, as many AI algorithms are rooted in these mathematical concepts.  

• Familiarity with machine learning techniques, data structures, and algorithms, particularly for engineers and researchers.  

• Experience with tools such as Jupyter Notebooks, Git, and cloud platforms like AWS or Google Cloud.  

• Skills in SQL and big data frameworks like Hadoop or Spark for those focused on data-heavy roles. 

Industry-Specific Knowledge 

Besides technical know-how, employers are increasingly seeking candidates who understand the unique challenges of their industry. For example:  

• An AI specialist working in healthcare may need to understand electronic health records, HIPAA compliance, or diagnostic workflows.  

• In finance, familiarity with fraud detection systems or algorithmic trading principles can be crucial.  

• AI professionals in retail or marketing may benefit from knowledge of customer segmentation, recommendation engines, or conversion optimization.  

This kind of contextual understanding enables AI solutions to be tailored effectively, making your work more impactful and your insights more valuable. Combining deep tech skills with domain fluency is one of the fastest ways to stand out in a competitive job market. 

Take the Next Step Toward a Future-Proof Career in Artificial Intelligence 

Turn your interest in artificial intelligence into a meaningful, high-impact career in AI: ºÚÁϲ»´òìÈ offers an online Master of Science in Artificial Intelligence that equips students with the technical, analytical, and leadership skills needed to thrive in this fast-growing field — plus an online graduate certificate in artificial intelligence. With flexible online courses, expert faculty, and real-world applications, graduates will be better prepared for top artificial intelligence jobs across industries. 

Explore our online graduate programs in AI at ºÚÁϲ»´òìÈ, and kickstart building the career you’ve been working toward.