Career transition

Head of large language models → AI Workflow Designer

This route builds on experience you already have and identifies the skills you need to add.

Starting roleHead of large language models · 26%
→
Learning path3–6 months
→
Target roleAI Workflow Designer · 31%

Transferable strengths

  • knowledge of the sector, terminology and typical work situations
  • resource allocation
  • data work
  • hypothesis testing
  • model-quality evaluation

Skills to add

  • AI-agent-assisted development
  • architecture and system design
  • AI-generated code security
  • systems thinking
  • software-system understanding
  • debugging

United States · monthly pay

How income may change

Comparison of modeled average monthly pay before tax. It helps assess direction but does not guarantee income after a transition.

Head of large language models$14 350 → $19 400
AI Workflow Designer$13 550 → $21 050
Head of large language models · 2026: $14 3502026Head of large language models · 2027: $14 8502027Head of large language models · 2028: $15 3502028Head of large language models · 2029: $15 8502029Head of large language models · 2030: $16 4002030Head of large language models · 2031: $16 9502031Head of large language models · 2032: $17 5502032Head of large language models · 2033: $18 1502033Head of large language models · 2034: $18 7502034Head of large language models · 2035: $19 4002035AI Workflow Designer · 2026: $13 550AI Workflow Designer · 2027: $14 250AI Workflow Designer · 2028: $14 950AI Workflow Designer · 2029: $15 700AI Workflow Designer · 2030: $16 500AI Workflow Designer · 2031: $17 300AI Workflow Designer · 2032: $18 200AI Workflow Designer · 2033: $19 100AI Workflow Designer · 2034: $20 050AI Workflow Designer · 2035: $21 050

How realistic is the transition?

Skill fit89%
DifficultyLow
DemandHigh

Suggested sequence

  1. Review 20–30 AI Workflow Designer vacancies and record actual tasks, mandatory requirements and tools.
  2. Define the bridge from Head of large language models: knowledge of the sector, terminology and typical work situations. Prepare two examples where this experience produced a measurable result.
  3. Learn AI-agent-assisted development and architecture and system design to the level of completing an independent practical task—not merely finishing a course.
  4. Build a working prototype, publish the code in a repository, and add tests, documentation and a decision record.
  5. Review 20–30 vacancies and choose only courses or certificates that repeatedly appear in employer requirements.
  6. Rewrite your résumé for AI Workflow Designer, add the case and begin with test applications, internships, projects or adjacent tasks at your current employer.
Timeline and pay are indicative. They depend on starting skills, location, experience, weekly study time and employer requirements.