Senior Ai Platform Engineer- Data And Systems

ADOBE

Base: $159,200 - $301,600 annually; california: $2...
Not specified
6+ years distributed systems experience
Apache spark and delta lake expertise
Kafka or flink streaming architecture
Adobe is seeking a Senior AI Platform Engineer to enhance its Adobe Express Data Platform, focusing on building foundational infrastructure for AI and analytics at scale. The ideal candidate will have extensive experience in data platform engineering and a strong background in streaming data systems

Job Summary

  • This role focuses on building the foundational infrastructure that enables AI, analytics, and autonomous agents at scale rather than developing ML models.
  • The team is evolving a billion-event-per-day system into a streaming-first, self-healing, agent-ready Lakehouse to collapse latency from hours to minutes.
  • Candidates are expected to default to an agentic-first approach, treating manual workflows as candidates for autonomous replacement.

Matching Summary

Match Score: 85

Adobe is seeking a Senior AI Platform Engineer to enhance its Adobe Express Data Platform, focusing on building foundational infrastructure for AI and analytics at scale. The ideal candidate will have extensive experience in data platform engineering and a strong background in streaming data systems.

Salary

Base: $159,200 - $301,600 annually; California: $208,300 - $301,600; Short-term incentives via Annual Incentive Plan

Skills & Requirements

Must-have

  • 6+ years distributed systems experience
  • Apache Spark and Delta Lake expertise
  • Kafka or Flink streaming architecture
  • Python and Scala programming proficiency
  • ML Feature Store implementation skills
  • AWS or Azure cloud platform knowledge

Nice-to-have

  • Experience with agentic AI frameworks
  • Familiarity with Model Context Protocol
  • RAG architecture and vector database skills
  • AI-powered developer tool usage
  • Open-source infrastructure contributions
  • Java or Go programming language

Key Requirements

  • 6+ years in data platform engineering
  • BS/MS in Computer Science or equivalent
  • Production experience integrating LLMs

Work Rights

Not specified

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