[Pathway] Salesforce Mentorship Program - AI Eng 2_1.mp4
AI engineers are creators of the future. They design, build, and implement intelligent systems that address real-world challenges. AI engineers can build anything from chatbots to recommendation systems to self-driving technology.
Systems Thinking, Pattern Recognition, Analytical Thinking, Technical Learning Agility, Hyperfocus, Teaching/prompting ability
Morning: Start the day by reviewing AI model performance, checking error logs, and debugging issues. AI Engineers often have standups with data scientists and software engineers to discuss priorities, roadblocks, and new AI research insights.
Midday: Deep work begins—writing and optimizing code, training machine learning models, and refining neural networks. Many AI Engineers spend time analyzing datasets, improving algorithms, and experimenting with different hyperparameters to enhance model accuracy. Some may also work on deploying AI systems into production environments.
Afternoon: Meetings with stakeholders—product managers, engineers, and business teams—to ensure AI solutions align with company goals. AI Engineers may also conduct code reviews, document progress, or explore new advancements in the field. The day often ends with testing AI models, fine-tuning performance, and planning next steps for ongoing projects.
▶️ A Day in the Life of an AI Engineer
We’ve put together resources to help you master the essential skills at each stage of your career journey in AI Engineering. Choose your level to start learning!