AI Engineer 4
Adobe, San Jose
- Pay
- $139K–$258K / year
- Work type
- Not stated
- Level
- Not stated
- Area
- ML / AI engineering
- Posted
- Sep 23, 2026
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About the role
We build the agentic AI platform that Adobe teams use to get real work done — OneAI, our unified intelligence layer, along with the reusable skills, agents, and dashboards that run on top of it. You'll design and ship autonomous agents that connect to enterprise data (Databricks, Jira, Confluence, Slack, SharePoint) and turn natural-language questions into trustworthy, cited answers.
This is a hands-on engineering role with room to grow. You'll own components end to end — from prototype to production — and see them adopted across business units. If you enjoy making AI systems that are genuinely reliable, well-governed, and fast, you'll fit in well here.
What you'll do
- Build and productionize reusable agentic components — skills, orchestration workflows, and tool-calling integrations — that plug into OneAI's intelligence layer (Neo4j + pgvector + Databricks + Claude).
- Take AI models and agents from prototype to production, and keep them healthy once they're live.
- Improve how agents reason: prompt design, memory and context management, retrieval quality, and multi-step tool use.
- Tune for latency, reliability, and cost so the platform holds up as more teams rely on it.
- Partner with product managers and data engineers to shape what we build, and share what you learn with the team.
- Help raise the bar on evaluation — measure solve rates and accuracy, and use what you find to make the agents better.
What you'll bring
- Around 3+ years building AI/ML or backend systems, including some experience running LLM-powered services in production.
- Strong fundamentals in Python and REST APIs.
- Familiarity with modern AI tooling — frameworks like LangChain or LlamaIndex, and vector databases.
- A habit of measuring quality and iterating, rather than shipping and hoping.
- Comfort working with cloud platforms (AWS, GCP, or Azure) and containers (Docker, Kubernetes).
Nice to have
- Experience with event streaming (Kafka, Flink, or Kinesis) and data pipelines (Spark or Databricks).
- Exposure to production operations — CI/CD, monitoring, alerting, and incident response.
- Interest in AI governance, safety, or evaluation.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
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Listed on Adobe's Workday careers site; checked 6 h ago. First seen by us 32 h ago. Being listed doesn't mean the team is actively interviewing.