AI Engineer
Ship products powered by LLMs: copilots, RAG systems, agents, and workflow automation.
AI CAREER FIELD GUIDE / 2026
$120K → $400K+
Explore ten AI careers through free, four-step roadmaps with practical salary context.
10 CAREERS / 40 MILESTONES
EXPLORE THE PATHSCONCEPT / CHOOSE YOUR LANE
Ship products powered by LLMs: copilots, RAG systems, agents, and workflow automation.
Design, train, tune, and deploy models—the bridge between data science and production software.
Make robots move, sense, and decide through kinematics, control systems, simulation, and ROS.
Turn promising LLM demos into reliable, monitored, scalable, and cost-aware production systems.
Help organizations choose the right AI use cases, redesign workflows, and turn adoption into measurable change.
Protect systems, networks, and data by thinking defensively—and like an attacker in authorized labs.
Design and run the compute, storage, networking, and automation that modern products depend on.
Own the why and what of AI products, from user problem and model fit to launch and iteration.
Build the pipelines and warehouses that turn scattered data into reliable, query-ready systems.
Push the frontier by inventing architectures and training methods, reproducing papers, and publishing evidence.
03 / PATH FINDER
Start with the work you want to do. Each motion points to a focused set of roles, so you can compare the destination before committing to the road map.
Turn models into working products. Choose this lane if you learn fastest by making software, simulations, or model systems.
Make complex systems reliable. Choose this lane if infrastructure, observability, data quality, and security feel satisfying.
Decide what AI should do next. Choose this lane if you enjoy product judgment, organizational change, or frontier questions.
04 / MARKET SIGNAL
Directional annual U.S. compensation bands for comparing paths—not guaranteed outcomes. Frontier packages can be outliers; the rows below use a shared $400K+ scale.
Indicative annual U.S. compensation bands assembled for orientation, not a guarantee. Actual pay varies widely by location, level, company, equity, and market timing. Frontier-lab and executive outliers can exceed these bands.