How many Applied AI Engineer jobs are open?

We currently track 34 active Applied AI Engineer job postings from 3 companies (dataset: public employer career pages, updated Sep 29, 2026).

What skills does a Applied AI Engineer need?

The most requested skills in current Applied AI Engineer postings are: LLM, Evaluation, Python, Google Cloud, AWS, Prompt Engineering.

Applied AI Engineer

Applies AI research and models to concrete product and customer problems.

Also seen as: Applied ML Engineer, Applied Scientist

open jobs tracked

companies hiring

remote openings

n/a

salary not disclosed

Market status: growing · Last updated Sep 29, 2026 · Source: public employer job postings tracked by AI Career Observatory

What does a Applied AI Engineer do?

Applied AI Engineers sit between research and product. They take models and techniques from the lab and apply them to concrete use cases: building prototypes, adapting models to domain data, running experiments and shipping applied AI features. The role often includes significant evaluation and iteration against real-world data.

Job titles we classify into this role

Real, current titles from tracked postings — role names vary by employer; this is what a Applied AI Engineer actually looks like in the market right now.

Applied AI Architects, Partner Anthropic
[London] Applied AI Architect, Partnerships Anthropic
Applied AI Architect, Public Sector Anthropic
Applied AI Architect, Startups Anthropic
Manager, Applied AI Architect Anthropic
Applied AI Architect Anthropic
Applied AI Architect, Partnerships Anthropic
Associate Applied AI, Rotational Program, London Anthropic

Title variants normalized into this role: Applied ML Engineer · Applied Scientist — plus employer-specific patterns matched with evidence. See classification methodology.