Senior Staff AI Automation Architect

Coinbase

Nashville (TN)

Hybrid

USD 254,000 - 299,000

Full time

14 days+
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Benefits offered by this job

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401(k)

Job summary

Coinbase is seeking a Senior Staff Software Engineer on the Core Automation team to architect and build Agentic AI systems that automate customer support and compliance at scale.

You will lead the creation of a reusable platform of primitives and interfaces, collaborate with product, compliance, and operations, and drive production-grade AI solutions with a focus on grounding, reliability, and efficiency.

Qualifications

  • 12+ years of backend software engineering experience.
  • Proven track record shipping LLM-based or Agentic AI applications to production.
  • Experience architecting distributed systems at massive scale.
  • Experience partnering with compliance, operations, and customer support stakeholders.
  • Track record of mentoring senior engineers and influencing technical direction.
  • Responsible use of generative AI with human oversight to improve workflow efficiency.

Responsibilities

  • Own the design and implementation of Agentic AI systems powering Coinbase's customer support and compliance automation.
  • Architect a reusable platform of primitives, orchestration tools, and interfaces for other teams to adopt Agentic AI.
  • Drive cross-functional alignment to translate business needs into scalable technical solutions.
  • Lead the strategy for moving LLM-based applications from prototype to production with reliability at scale.
  • Mentor engineers across the team on system design and AI/ML best practices.

Skills

Backend engineering
Golang
LLM/Agentic AI
Distributed systems
Stakeholder collaboration
Mentoring

Job description

Coinbase is seeking a Senior Staff Software Engineer on the Core Automation team to architect and build Agentic AI systems that automate customer support and compliance at scale.

You will lead the creation of a reusable platform of primitives and interfaces, collaborate with product, compliance, and operations, and drive production-grade AI solutions with a focus on grounding, reliability, and efficiency.

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