Senior AI Platform Engineer- Data and Systems

Adobe

Actively hiring
San Jose, US Posted 31 days ago $208,300–$301,600 / year
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At a glance

AI generated

TL;DR

As a senior systems engineer on the Adobe Express Data Platform team, you will design and build streaming-first data pipelines to reduce end-to-end latency from hours to minutes, using event-driven architectures. You’ll extend the ML Attribute Store by adding low-latency online serving capabilities alongside batch feature computation with unified aggregation to prevent training-serving skew. Additionally, you’ll develop MCP-compatible Agent Data APIs for autonomous AI agents and create an agentic framework that includes automated anomaly detection and pipeline self-healing. Proficiency in Apache Spark, Databricks, Delta Lake, Python, Scala, SQL, Kafka, Kinesis, Flink, and Kubernetes is essential. You should also have experience with LLMs, agentic AI frameworks, ML Feature Stores, and RAG architectures to ensure seamless integration of autonomous systems into the platform. This role demands a mindset that challenges the status quo and prioritizes operational excellence through automation and self-healing pipelines.

Skills

Apache_Spark Databricks Delta_Lake Kafka Kinesis Flink Python Scala SQL AWS Azure Docker Kubernetes CI/CD MCP LangChain LLMs Feature_Stores RAG Unity_Catalog FAISS Pinecone Weaviate Semantic_layers DataHub OpenMetadata AI-powered_developer_tools

What you'll do

  • Design and build streaming-first data pipelines to reduce end-to-end latency.
  • Extend the ML Attribute Store for low-latency online feature serving capabilities.
  • Develop MCP-compatible Agent Data APIs for autonomous AI agent queries.
  • Create an agentic framework for automated anomaly detection and pipeline self-healing.
  • Drive operational excellence with observability, performance tuning, and cost optimization.
  • Collaborate to translate platform capabilities into self-serve infrastructure for non-platform teams.

What we're looking for

  • 6+ years of experience in data platform engineering, distributed systems, or backend infrastructure at scale.
  • Deep hands-on experience with Apache Spark, Databricks, Delta Lake, and streaming systems like Kafka, Kinesis, Flink.
  • Proven track record building large-scale pipelines processing billions of events daily with sub-hour latency SLAs.
  • Experience integrating LLMs into engineering workflows and understanding MCP or A2A protocols for agent-consumable tool servers.
  • Ability to build evaluation and feedback pipelines for AI systems, measuring accuracy, latency, cost attribution per workflow.

Market check

Salary context

This $208,300–$301,600 range sits above 87% of similar postings on FindRole.

Peer median band

$170,800–$258,750

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$175,875–$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 290 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 290 roles with salary data.

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