Architect Lead

Capital Group

Southern California, US
Base: $201,683-$322,693 (southern california) / $2...
10 years architecture and engineering experience
Cloud-native data platforms snowflake databricks
Llm orchestration langchain llamaindex
The role involves steering technology strategy and defining target state architectures for scalable, resilient data platforms optimized for Generative AI and Machine Learning

Job Summary

  • The role involves steering technology strategy and defining target state architectures for scalable, resilient data platforms optimized for Generative AI and Machine Learning.
  • Candidates must possess at least 10 years of deep architecture and engineering experience with expertise in cloud-native data platforms and AI development frameworks.
  • Capital Group offers a competitive salary range up to $342,072 depending on location, along with a 15% retirement contribution and annual performance bonuses.

Matching Summary

The role involves steering technology strategy and defining target state architectures for scalable, resilient data platforms optimized for Generative AI and Machine Learning.

Salary

Base: $201,683-$322,693 (Southern California) / $213,795-$342,072 (New York); Bonus/Equity: Individual annual performance bonus plus profitability bonus; Benefits: 15% company retirement contribution, generous time-away, health benefits, 2-for-1 matching gifts

Skills & Requirements

Must-have

  • 10 years architecture and engineering experience
  • Cloud-native data platforms Snowflake Databricks
  • LLM Orchestration LangChain LlamaIndex
  • Python Spark deployment of large language models
  • Domain-driven design event-driven architecture
  • RAG architectures Agentic AI patterns
  • AWS Bedrock Azure OpenAI Mosaic AI

Nice-to-have

  • Strong interpersonal and communication skills
  • Customer-centric approaches to stakeholder needs
  • Ability to build consensus across teams
  • Proactive risk identification and mitigation
  • Experience with data mesh or data fabric
  • Hands-on testing in lab environments

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • 10 years of deep architecture and engineering experience
  • Expertise in Python, Spark, and LLM deployment

Work Rights

Not specified

Tailored Resume

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