AI Engineer 4

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.

AI Use Guidelines for Interviews

Our interviews are designed to reflect your own skills and thinking. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $139,000 - $257,550 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $177,900 - $257,550

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.