Senior Agentic AI SRE Architect: Production Systems Lead

ARCHER

Seattle (WA)

In loco

USD 180.000 - 320.000

Tempo pieno

4 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Health Care Coverage
On-Site Health And Wellness Centers
Retirement Savings Plan
Backup Childcare
Tuition Reimbursement
Mental Health Support
Financial Coaching
Cash Incentive Compensation
Forfeitable Equity

Descrizione del lavoro

ARCHER in Seattle seeks a leader to architect and develop production-grade agentic AI and multi-agent systems, elevating engineering productivity, reliability and operational excellence. You will govern orchestration, state management, security, observability, evaluation and scalable AI infrastructure while contributing code and automating remediation.

The ideal candidate has formal software engineering training, 5+ years of applied experience, advanced Python, and hands-on production delivery

Competenze

  • Formal training or certification in software engineering concepts.
  • At least five years of applied experience in software engineering or AI systems.
  • Advanced Python proficiency and hands-on production delivery of agentic AI.
  • Experience with generative AI at scale, agent frameworks and evaluation, and cloud infra (AWS).
  • Infrastructure-as-code (Terraform) and reliable distributed systems experience.

Mansioni

  • Lead the architecture and development of production-grade agentic AI and multi-agent systems to improve engineering productivity, reliability, and operational excellence.
  • Govern agent orchestration, state management, security, observability, evaluation, and scalable AI infrastructure.
  • Develop and review production code and automate recurring remediation.

Conoscenze

Python
Agentic AI
Multi-Agent Systems
AWS
Terraform
Site Reliability Engineering
Observability
Distributed Systems

Strumenti

Terraform
AWS
Kubernetes

Descrizione del lavoro

ARCHER in Seattle seeks a leader to architect and develop production-grade agentic AI and multi-agent systems, elevating engineering productivity, reliability and operational excellence. You will govern orchestration, state management, security, observability, evaluation and scalable AI infrastructure while contributing code and automating remediation.

The ideal candidate has formal software engineering training, 5+ years of applied experience, advanced Python, and hands-on production delivery

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