Top 10 Jobs Created by AI in 2025: New Career Opportunities in the Age of Artificial Intelligence

The tech industry is undergoing a seismic shift in 2025, driven by the rapid rise of artificial intelligence (AI). From generative AI tools like ChatGPT to advanced machine learning models powering autonomous systems, AI is not only transforming how tech companies operate but also creating a wave of new AI job opportunities. According to industry reports, the global AI market is projected to grow by 32.4% annually, reaching $896.32 billion by 2029, fueling demand for skilled professionals in AI careers 2025. While AI automates routine tasks, it’s also spawning innovative roles that blend technical expertise, creativity, and strategic thinking. This article explores the top 10 jobs created by AI in the tech industry, detailing their responsibilities, required skills, salary ranges, and why they’re in demand, offering a roadmap for job seekers eager to capitalize on the AI revolution in tech.

Why AI Is Creating New Jobs in Tech

AI’s transformative power lies in its ability to mimic human intelligence—learning, reasoning, and decision-making—while processing vast datasets at unprecedented speeds. In the tech industry, AI enhances software development, cybersecurity, and data analytics, driving efficiency and innovation. However, as AI systems grow more complex, they require human expertise to design, deploy, and govern them responsibly. A 2025 McKinsey survey highlights that 75% of organizations now use AI in at least one function, with tech companies leading in roles like software engineering and knowledge management. This surge is creating specialized jobs created by AI, from AI ethicists ensuring fairness to prompt engineers crafting precise inputs for generative models. Unlike fears of job displacement, these roles emphasize human-AI collaboration, requiring skills in programming, ethics, and domain expertise.

Top 10 AI-Driven Job Roles in the Tech Industry

Here’s a curated list of the top 10 roles created or significantly expanded by AI in the tech industry in 2025, with insights into their duties, skills, and earning potential.

1. AI Ethicist

• What They Do: AI ethicists develop frameworks to ensure AI systems are fair, transparent, and unbiased, addressing ethical concerns like data privacy and algorithmic bias. They work with developers and policymakers to align AI with regulations like the EU AI Act.
• Why It’s New: The rise of generative AI and incidents of biased outputs (e.g., facial recognition errors) have heightened demand for ethical oversight, especially with regulations like the EU AI Act enforcing accountability.
• Skills Needed: Knowledge of AI governance, ethics, data privacy laws, and stakeholder communication. Familiarity with Python or R for auditing AI models is a plus.
• Salary Range (U.S.): $90,000–$150,000/year.
• Why In Demand: With 70% of companies prioritizing AI governance in 2025, ethicists are critical for compliance and public trust.

2. Prompt Engineer

• What They Do: Prompt engineers design and optimize inputs for generative AI models like ChatGPT or DALL-E to produce accurate, relevant outputs for applications like content creation or code generation.
• Why It’s New: The explosion of generative AI tools in 2023–2025 created a need for experts who can craft precise prompts to maximize model performance.
• Skills Needed: Understanding of natural language processing (NLP), creativity, and domain-specific knowledge (e.g., tech, marketing). Basic coding (Python) helps.
• Salary Range (U.S.): $80,000–$120,000/year.
• Why In Demand: As 63% of organizations use generative AI for text outputs, prompt engineers are essential for tailoring AI to specific tech needs.

3. Machine Learning Engineer

• What They Do: Machine learning (ML) engineers develop and refine algorithms that enable AI systems to learn from data, powering applications like predictive analytics and autonomous systems.
• Why It’s New: While ML engineering predates 2025, the role has expanded with the rise of generative AI and agentic AI, requiring expertise in cloud platforms and neural networks.
• Skills Needed: Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP). Strong math and statistics knowledge.
• Salary Range (U.S.): $120,000–$180,000/year.
• Why In Demand: Forbes predicts a 70% growth in AI job roles, with ML engineers leading due to their role in scaling AI solutions.

4. AI Data Engineer

• What They Do: AI data engineers build and manage data pipelines, ensuring high-quality datasets for training AI models, critical for tech applications like recommendation systems.
• Why It’s New: The exponential growth of data for AI training (e.g., 50% increase in ML research from 2015–2019) has made data engineering a specialized AI role.
• Skills Needed: Expertise in Python, Java, ETL processes, and big data tools (Hadoop, Spark). Knowledge of cloud platforms like AWS or GCP.
• Salary Range (U.S.): $100,000–$140,000/year.
• Why In Demand: AI’s reliance on large datasets makes data engineers indispensable for tech firms.

5. AI Product Manager

• What They Do: AI product managers oversee the development of AI-driven products, aligning technical teams with business goals to launch tools like chatbots or analytics platforms.
• Why It’s New: The expansion of AI across corporate functions requires managers who bridge tech and business, a role growing in tech hubs.
• Skills Needed: Project management, understanding of ML and NLP, and business strategy. Agile methodologies are a plus.
• Salary Range (U.S.): $110,000–$160,000/year.
• Why In Demand: With AI projects spanning all corporate functions, product managers are key to delivering high-ROI solutions.

6. AI Governance Strategist

• What They Do: AI governance strategists develop policies and processes to ensure responsible AI deployment, ensuring compliance with global regulations like the EU AI Act.
• Why It’s New: Regulatory pressures (e.g., EU AI Act’s 2025 deadlines) and ethical concerns have created demand for governance experts.
• Skills Needed: Knowledge of AI regulations, risk management, and stakeholder coordination. Technical AI understanding is beneficial.
• Salary Range (U.S.): $95,000–$145,000/year.
• Why In Demand: CEO oversight of AI governance correlates with higher ROI, making strategists critical.

7. Computer Vision Engineer

• What They Do: Computer vision engineers design AI systems for image and video analysis, powering applications like autonomous vehicles and facial recognition.
• Why It’s New: Advances in deep learning and GPU processing since 2012 have expanded computer vision applications in tech.
• Skills Needed: Expertise in OpenCV, TensorFlow, and Python. Knowledge of neural networks and cloud computing.
• Salary Range (U.S.): $115,000–$170,000/year.
• Why In Demand: Tech firms like General Motors use computer vision for real-time analytics, driving demand.

8. AI Security Specialist

• What They Do: AI security specialists protect AI systems from cyber threats, using ML to detect anomalies and secure data pipelines.
• Why It’s New: The rise of AI-driven cyberattacks (e.g., adversarial attacks on ML models) has created a niche for security experts.
• Skills Needed: Cybersecurity expertise, ML knowledge, and familiarity with tools like Splunk or TensorFlow. Cloud security skills.
• Salary Range (U.S.): $100,000–$150,000/year.
• Why In Demand: AI’s role in threat detection (e.g., JPMorgan’s fraud detection) requires specialized security roles.

9. LLM Operations Engineer

• What They Do: LLM (large language model) operations engineers deploy and optimize large-scale AI models like GPT-4, ensuring scalability and performance.
• Why It’s New: The 2023–2025 generative AI boom, with 63% of firms using LLMs for text outputs, created this specialized MLOps role.
• Skills Needed: MLOps, Python, cloud platforms (Azure, AWS), and model optimization techniques.
• Salary Range (U.S.): $120,000–$180,000/year.
• Why In Demand: Scalable LLM deployment is critical for tech firms adopting generative AI.

10. Robotics Integration Engineer

• What They Do: Robotics integration engineers design and deploy AI-powered robotic systems for tasks like automation in tech manufacturing or logistics.
• Why It’s New: AI-driven robotics, enhanced by ML, is expanding in tech for tasks like predictive maintenance and automation.
• Skills Needed: Robotics programming, Python, ROS (Robot Operating System), and ML knowledge.
• Salary Range (U.S.): $105,000–$140,000/year.
• Why In Demand: Robotics applications in tech, like Motive’s fleet management, are growing rapidly.

Skills and Education for AI Careers

To thrive in these AI careers 2025, professionals need a mix of technical and soft skills:

• Technical Skills: Proficiency in Python, R, or C++ is critical, with libraries like TensorFlow, PyTorch, or OpenCV for specific roles. Cloud platforms (AWS, GCP, Azure) and big data tools (Hadoop, Spark) are increasingly required.
• Soft Skills: Analytical thinking, problem-solving, and communication are essential for roles like AI product manager or ethicist.
• Education: A bachelor’s or master’s in computer science, data science, or AI-related fields is common. Programs like the University of Leeds’ MSc in AI or Esade’s Bachelor in AI for Business prepare candidates for these roles.
• Certifications: Courses like DataCamp’s AI Literacy or Coursera’s Machine Learning Specialization boost employability.

Challenges and Opportunities

While these jobs created by AI offer lucrative opportunities, challenges remain:

• Skill Gaps: The fast-evolving AI field requires continuous learning, as skills from a decade ago are outdated.
• Ethical Concerns: Roles like AI ethicists must address bias and privacy, critical as 70% of video game illustrator jobs in China were displaced by AI in 2023.
• Job Displacement: Routine IT tasks (e.g., ticket triaging) are automated, but new roles elevate human-led tasks like strategy and innovation.

Opportunities: The U.S. Bureau of Labor Statistics predicts a 21% growth in computer and information research roles by 2031, far above average, with AI driving demand. Tech firms investing in AI talent report higher ROI, especially with roles like AI strategists.

FAQs: AI Job Roles in Tech

What Are the Top Jobs Created by AI in 2025?
Roles like AI ethicists, prompt engineers, ML engineers, and robotics integration engineers are among the most in-demand, driven by generative AI and regulatory needs.

How Can I Prepare for AI Careers in Tech?
Gain skills in Python, ML frameworks, and cloud platforms. Pursue degrees or certifications in AI or data science.

Do AI Jobs Require Advanced Degrees?
While many roles prefer a bachelor’s or master’s, certifications and practical experience (e.g., Kaggle projects) can suffice for roles like prompt engineer.

Are AI Jobs Replacing IT Roles?
AI automates routine tasks but creates higher-value roles like AI security specialists, enhancing rather than replacing IT professionals.

Conclusion

The AI revolution in tech is reshaping the job market, creating exciting AI job opportunities like AI ethicists, prompt engineers, and LLM operations engineers. These jobs created by AI blend technical prowess with ethical and strategic insights, offering salaries from $80,000 to $180,000 and growth potential as the AI market surges toward $896.32 billion by 2029. Whether you’re a coder mastering Python, a strategist navigating regulations, or a creative shaping AI outputs, 2025 is the year to dive into these AI careers 2025. Start by exploring certifications on DataCamp or Coursera.