Principal Architect

Adobe Adobe · Enterprise · San Jose, CA

Drives architectural evolution of Adobe’s Enterprise Customer Experience platform and applications through system and application design as well as technology innovation for Agentic AI solutions. This role will partner closely with engineering, product, and business leaders to define architecture strategy, influence product direction, and deliver highly scalable systems that support global-scale workloads, ensure data governance, and drive AI solutions.

What you'd actually do

  1. Define and drive end-to-end system architecture for large-scale data management, ensuring performance, security, and reliability
  2. Drive the development, integration and adoption of AI-native services (including Agentic Tools, Skills and Context-sensitive Agentic Loops).
  3. Partner with engineering and product leadership to translate business requirements into technical architecture
  4. Lead architectural reviews, guide design decisions, and ensure adherence to best practices
  5. Establish standards for scalability, observability, resiliency, and cost efficiency

Skills

Required

  • 15+ years of experience in software engineering with strong focus on end-to-end systems and application development
  • Proven experience designing and operating large-scale, reliable distributed systems (high performance and high availability)
  • Strong experience with microservices, APIs, and platform engineering
  • Familiarity with Agentic AI solution design and development
  • Demonstrated ability to influence org-wide teams and drive architecture at scale
  • Excellent communication skills with ability to engage both technical and non-technical stakeholders

Nice to have

  • Experience with streaming data platforms and real-time processing frameworks (e.g., Kafka, Spark)
  • Experience in developing Agentic AI systems and solutions
  • Background in building developer platforms or cloud-enabled products
  • Experience working in highly matrixed, enterprise-scale environments
  • Advanced degree (M.S. or Ph.D.) in Computer Science or related field

What the JD emphasized

  • Agentic AI technologies
  • data management
  • distributed systems
  • operate across organizational boundaries
  • thought leadership across the organization

Other signals

  • Agentic AI solutions
  • large-scale data management
  • distributed systems
  • platform engineering