Skill Profile

Transformer Architecture

This skill defines expectations across roles and levels.

Machine Learning & AI LLM & Generative AI

Roles

where this skill appears

Levels

structured growth path

Mandatory requirements

the other 5 optional

Machine Learning & AI

LLM & Generative AI

2/22/2026

Choose your current level and compare expectations. The items below show what to cover to advance to the next level.

What is Expected at Each Level

The table shows how skill depth grows from Junior to Principal. Click a row to see details.

Role	Required	Description
LLM Engineer		Knows Transformer basics: self-attention, multi-head attention, positional encoding, feed-forward layers. Understands encoder-decoder and decoder-only architectures and their application in LLM.

Role	Required	Description
LLM Engineer		Independently analyzes and modifies Transformer architectures: RoPE, ALiBi, GQA, SwiGLU. Understands architectural differences between GPT, LLaMA, Mistral and their impact on performance.

Role	Required	Description
LLM Engineer		Designs custom Transformer modifications: efficient attention (FlashAttention, sliding window), custom positional encoding, architectural search. Implements and evaluates novel architectural solutions.

Role	Required	Description
LLM Engineer		Defines Transformer architecture standards for the LLM team. Establishes guidelines for architecture selection, new approach evaluation, R&D directions. Coordinates architectural experiments.

Role	Required	Description
LLM Engineer		Shapes enterprise Transformer R&D strategy. Defines long-term architectural directions, evaluates emerging architectures (Mamba, RWKV), and plans transitions between architecture generations.

Junior 1 requirements

LLM Engineer

Knows Transformer basics: self-attention, multi-head attention, positional encoding, feed-forward layers. Understands encoder-decoder and decoder-only architectures and their application in LLM.

Middle 1 requirements

LLM Engineer

Independently analyzes and modifies Transformer architectures: RoPE, ALiBi, GQA, SwiGLU. Understands architectural differences between GPT, LLaMA, Mistral and their impact on performance.

Senior 1 requirements

LLM Engineer

Designs custom Transformer modifications: efficient attention (FlashAttention, sliding window), custom positional encoding, architectural search. Implements and evaluates novel architectural solutions.

Lead / Staff 1 requirements

LLM Engineer

Defines Transformer architecture standards for the LLM team. Establishes guidelines for architecture selection, new approach evaluation, R&D directions. Coordinates architectural experiments.

Principal 1 requirements

LLM Engineer

Shapes enterprise Transformer R&D strategy. Defines long-term architectural directions, evaluates emerging architectures (Mamba, RWKV), and plans transitions between architecture generations.

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