Lead AI Platform Architect: Agents, RAG & Knowledge Graphs

Harnham

California

Presencial

USD 220.000 - 360.000

Jornada completa

hace 13 horas
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Descripción de la vacante

Harnham is seeking a senior technical leader to shape the next generation of AI-native data infrastructure. You will define multi-step agent architectures, lead large-scale initiatives, and own core AI code generation capabilities from design to production.

The role requires deep AI/ML experience and a proven ability to navigate ambiguity while delivering concrete outcomes. You will influence architecture across the engineering organization, mentor engineers at all levels, and establish robust

Formación

  • 8+ years of software engineering with AI/ML depth and leadership.
  • Experience owning and shipping AI agents or coding agents in production at scale.
  • Strong Python with experience in RAG, vector databases, and knowledge graphs.
  • Ability to make architectural decisions under uncertainty and ship to production.
  • Experience with AWS & Kubernetes; comfortable across the full AI development lifecycle.

Responsabilidades

  • Set technical direction across multi-step agent architecture, RAG pipelines, and knowledge retrieval systems.
  • Own the AI behind the platform's core code generation capability, from prompt design to validation at scale.
  • Lead large, complex initiatives end-to-end with minimal direction.
  • Shape production AI practices with standards for evaluation, observability, and reliability.
  • Influence architectural decisions across the engineering org and mentor engineers at all levels.

Conocimientos

Software engineering
AI/ML leadership
Python
Architectural design

Herramientas

Neo4j
Databricks
Snowflake
BigQuery
Kubernetes
AWS

Descripción del empleo

Harnham is seeking a senior technical leader to shape the next generation of AI-native data infrastructure. You will define multi-step agent architectures, lead large-scale initiatives, and own core AI code generation capabilities from design to production.

The role requires deep AI/ML experience and a proven ability to navigate ambiguity while delivering concrete outcomes. You will influence architecture across the engineering organization, mentor engineers at all levels, and establish robust

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