Chief Architect For Adobe Intelligence Platform

Adobe Media and Data Science Research (MDSR) Laboratory

Base: $209,900 - $432,450 annually (us); californi...
Hybrid
15+ years software engineering experience
Principal or distinguished architect role
Agentic orchestration and multi-agent harness design
This role serves as the technical leader and chief decision-maker for the Adobe Intelligence Platform engineering team, responsible for designing the connective tissue that unifies Adobe's AI-native ecosystem

Job Summary

  • This role serves as the technical leader and chief decision-maker for the Adobe Intelligence Platform engineering team, responsible for designing the connective tissue that unifies Adobe's AI-native ecosystem.
  • The successful candidate will own end-to-end architecture for agentic orchestration, model gateways, and knowledge graph infrastructure while ensuring production-quality, resilient systems.
  • You will lead a global team of architects and senior engineers, setting the technical bar through hands-on code reviews, architecture decision records, and rigorous engineering standards.

Matching Summary

This role serves as the technical leader and chief decision-maker for the Adobe Intelligence Platform engineering team, responsible for designing the connective tissue that unifies Adobe's AI-native ecosystem.

Salary

Base: $209,900 - $432,450 annually (US); California Base: $278,100 - $432,450; Short-term incentives via Annual Incentive Plan (AIP) and potential equity awards

Skills & Requirements

Must-have

  • 15+ years software engineering experience
  • Principal or distinguished architect role
  • Agentic orchestration and multi-agent harness design
  • LLM serving and retrieval-augmented generation (RAG)
  • Resilient distributed system design with circuit breakers
  • Type-safe languages like Rust, Go, Python, TypeScript
  • API gateway and service mesh architecture

Nice-to-have

  • Direct MCP infrastructure experience at scale
  • Open-source AI infrastructure contributions
  • Experience operating platforms for hundreds of millions of users
  • Knowledge graph technologies like RDF/OWL and vector stores
  • Streaming data architectures using Kafka or Flink
  • AI safety and alignment framework expertise
  • Post-quantum cryptographic readiness knowledge

Key Requirements

  • BS/MS/PhD in Computer Science or equivalent demonstrated expertise
  • Minimum 15 years of software engineering experience
  • At least 3 years in a principal or distinguished architect role
  • Expert-level knowledge of agentic AI patterns and planning engines
  • Production experience with modern systems languages

Work Rights

Not specified

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