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SKILL_PATH // SENIOR / STAFF ENGINEER

Architect agent systems. Make them reliable at scale.

The person the team turns to when it gets complex.

You don't just add an LLM call — you design the entire system. Multi-agent orchestration. Context management across long-running tasks. Failure recovery patterns. MCP integrations. You're the architect who makes AI systems work at production scale.

WHERE THIS ROLE EXISTS
Amazon
Principal/Staff SDE for agent systems
ServiceNow
AI platform architect
Enterprise
The architect designing AI infrastructure
YOUR PRIORITY SKILLS

Your target skill profile — what to learn and how deep to go.

1

Agent Architecture

Expert

Single vs. multi-agent, tool-use patterns, hub-and-spoke design

2

Orchestration

Expert

Multi-step workflows, parallelization, state management

3

Context Window Engineering

Expert

The difference between 10 docs and 10,000 docs

4

Failure Mode Reasoning

Expert

Designing around every failure type — the "what if" architect

5

MCP Design

Proficient

The interface layer between agents and the tools they use

60-DAY MILESTONE

Design and ship a multi-agent system with orchestration, failure recovery, and observability.

2-YEAR DESTINATION

Staff+ AI Engineer / AI Architect

$280–500K+

"The architect who can design agent systems that don't fall apart at scale is the rarest hire in tech."

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