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AI · Skills roadmap

Forward Deployed Engineer: pay and demand

Build AI systems inside customers' businesses and make them work in the real world.

  • 40 to 64 weeks to job-ready, part time
  • 49 lessons across 20 skills
  • 12 portfolio projects

61 lessons and projects. Progress saves in this browser.

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Pay by level

We only show pay we can source and date. This floor's band is still being verified.

Demand

48 current postings analysed (32 India, 16 global remote), collected 30 September 2026. LLMs in 75%, REST APIs in 69%, communication in 65% and customer-facing work in 62%. Source

What employers actually want

We read 48 Forward Deployed Engineer and closely related job descriptions (deployment strategists, AI solutions engineers) posted between July and September 2026: 32 in India and 16 global remote roles.

  • LLM engineering is the core. LLMs appear in 75% of postings, AI agents in 50%, retrieval-augmented generation in 44%, prompt engineering in 33%, LLM evaluation in 31% and MCP in 23%.

  • Integration is the daily work. REST APIs appear in 69% of postings. Python in 60%, TypeScript in 33% and JavaScript in 25%.

  • Customers are the job. Communication appears in 65%, customer-facing delivery in 62% and stakeholder management in 50%.

  • Enterprise constraints matter. Security and compliance appear in 25%, observability and CI/CD in 23% each.

  • Cloud is common. Google Cloud in 29%, AWS 27% and Azure 21%.

  • Many openings are junior. 31 of the 48 postings were entry or associate level, so this is a realistic first role for strong builders who communicate well.

Method, full frequency tables and every job link are in the research file linked from this page.