Chief Architect For Adobe Intelligence Platform

ADOBE

Base: $209,900 - $432,450 annually; california bas...
Hybrid
15+ years software engineering experience
Principal or distinguished architect role
Agentic orchestration and multi-agent design
Adobe is seeking a Chief Architect for its Adobe Intelligence Platform, responsible for leading the technical vision and architecture of AI systems across its product suite. The role involves hands-on architecture design, team leadership, and collaboration with various engineering teams to enhance product interoperability and resilience

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 product portfolio into an AI-native ecosystem.
  • The successful candidate will own end-to-end technical architecture including agentic orchestration, model gateways, and knowledge graph infrastructure while maintaining a hands-on approach to code reviews and system boundaries.
  • Candidates must demonstrate deep expertise in modern AI architectures, resilient distributed systems, and the ability to lead global teams of senior architects in high-stakes environments.

Matching Summary

Match Score: 85

Adobe is seeking a Chief Architect for its Adobe Intelligence Platform, responsible for leading the technical vision and architecture of AI systems across its product suite. The role involves hands-on architecture design, team leadership, and collaboration with various engineering teams to enhance product interoperability and resilience.

Salary

Base: $209,900 - $432,450 annually; California Base: $278,100 - $432,450; Equity: Eligible for new hire equity award

Skills & Requirements

Must-have

  • 15+ years software engineering experience
  • Principal or distinguished architect role
  • Agentic orchestration and multi-agent design
  • LLM serving and retrieval-augmented generation
  • Distributed systems consensus and failure isolation
  • Resilient system design with circuit breakers
  • Type-safe languages like Rust, Go, Python

Nice-to-have

  • Direct MCP infrastructure experience at scale
  • Open-source AI infrastructure contributions
  • Knowledge graph technologies RDF/OWL
  • Streaming data architectures Kafka Flink
  • Post-quantum cryptographic readiness
  • AI safety and alignment frameworks
  • Experience serving hundreds of millions of users

Key Requirements

  • 15+ years of software engineering experience
  • 3+ years in principal or distinguished architect role
  • BS/MS/PhD in Computer Science or equivalent expertise

Work Rights

Not specified

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