Principal AI Systems Architect – Industrial Ops

Archimetis

Indiana

Remote

USD 180,000 - 280,000

Full time

9 hours ago
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Benefits offered by this job

Remote-first team
Flexible work hours
Competitive compensation
Health benefits

Job summary

Archimetis seeks a Principal Software Engineer to lead the architectural direction of our reasoning platform. You will own critical design decisions, mentor engineers, and ensure the system safely handles high-volume telemetry and real-time constraints.

You will work across AI, data, and industrial domain teams to build scalable, auditable, and secure agentic systems that operate within deterministic guardrails and performance targets.

Qualifications

  • Proven experience building multi-agent or agent-orchestrated systems.
  • Strong Python expertise with emphasis on scalable software.
  • Experience designing distributed systems with clear service boundaries and data flows.
  • Ability to mentor engineers and own architectural decisions.
  • Track record of delivering production-grade systems in industrial domains.

Responsibilities

  • Lead architectural direction for the reasoning platform.
  • Coordinate across AI, data, and operations teams to ensure scalable design.
  • Mentor engineers and promote strong engineering discipline.
  • Balance velocity with technical debt and observability in production systems.
  • Define and implement guardrails and validation for agentic components.

Skills

Python
Distributed Systems
Agentic Systems
System Architecture
Mentoring Engineers
Leadership

Tools

LangGraph
Claude Code
Cursor

Job description

Archimetis seeks a Principal Software Engineer to lead the architectural direction of our reasoning platform. You will own critical design decisions, mentor engineers, and ensure the system safely handles high-volume telemetry and real-time constraints.

You will work across AI, data, and industrial domain teams to build scalable, auditable, and secure agentic systems that operate within deterministic guardrails and performance targets.

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