AI Ethics Specialist: This role makes sure that AI is used fairly and responsibly. The specialist creates rules, detects bias, and holds people accountable to regulatory standards.

Machine Learning Engineer: This role creates algorithms that let machines learn from data. The engineer builds models for speech recognition and prediction.

Data Scientist & Data Analyst: These roles extract insights from large datasets. They help businesses make strategic decisions.

AI Cybersecurity Specialist: This role protects AI systems from cyber threats. The specialist keeps systems & applications safe.

AI Product Manager: This role manages AI product development. The manager aligns products with business goals and customer needs.

AI Research Scientist: This role pushes AI technology forward. The scientist creates new algorithms and models.

Robotics Engineer: This role designs and builds robots. The engineer programs systems for safety and reliability.

AI Solutions Architect: This role designs AI systems that fit with existing processes. The architect makes sure tools match strategic goals.

AI Chatbot Developer: This role builds chatbots that talk with users. The developer improves customer support and operational efficiency.

Data Engineer: This role builds and maintains data infrastructure. The engineer prepares reliable data for analysis.

Prompt Engineer: This role designs prompts for generative AI systems. The engineer improves output quality.

Artist or Designer with AI Skill: This role uses AI to create or enhance art and design. The artist combines creative talent with AI tools.

Writer with AI Skills: This role produces written content with AI help. The writer uses technical skill and language expertise.

AI Marketing Strategist: This role uses AI tools to analyze consumer behavior. The strategist builds data-driven campaigns and improves customer engagement.

Chief AI Officer (CAIO): This role sets the organization’s AI strategy. The officer leads AI implementation and governance.