AI Architect & Pod Lead — Scalable Production AI

Tech Mirrors

Austin (TX)

On-site

USD 110,208 - 123,984

Full time

14 days+
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Job summary

Tech Mirrors is seeking an AI Architect (Pod Lead) to own end-to-end architecture for a production AI disposition engine and to scale the detection engine across multiple cloud regions. You will define deterministic boundaries, drive cross-workstream coupling, and lead design sessions to convert ambiguity into actionable decisions.

The role requires 10+ years of engineering experience with production AI systems at scale, strong Python expertise, and hands-on coding along with experience in

Qualifications

  • Python production-grade coding skills.
  • Experience with agentic/multi-agent architectures.
  • Strong orchestration and tool contracts.
  • Context and prompt engineering capabilities.
  • Evaluation engineering and test harness development.
  • Judgment on deterministic vs probabilistic design.

Responsibilities

  • Own end-to-end architecture of the Disposition Engine, including item ledger and evidence-pack assembly.
  • Scale the end-to-end architecture of the Detection Engine.
  • Define deterministic boundaries versus model-based reasoning for each problem.
  • Design cross-workstream coupling and change wave propagation.
  • Lead design sessions and drive clear, auditable decisions for the team.
  • Own gold-set evaluation strategy and metrics like auto-disposition rate and accuracy.

Skills

Python
Agentic architecture
Orchestration
Prompt engineering
Evaluation engineering
Deterministic design

Tools

Bedrock
Neo4j

Job description

Tech Mirrors is seeking an AI Architect (Pod Lead) to own end-to-end architecture for a production AI disposition engine and to scale the detection engine across multiple cloud regions. You will define deterministic boundaries, drive cross-workstream coupling, and lead design sessions to convert ambiguity into actionable decisions.

The role requires 10+ years of engineering experience with production AI systems at scale, strong Python expertise, and hands-on coding along with experience in

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