Job description

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. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations adobe.com . AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. 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. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Requirements

Must-haves

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).
Exposure to production operations — CI/CD, monitoring, alerting, and incident response.
Interest in AI governance, safety, or evaluation.
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Application Window Notice
Massachusetts Legal Notice

Nice-to-haves

Nice to have Experience with event streaming (Kafka, Flink, or Kinesis) and data pipelines (Spark or Databricks).

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aijiramlllmpythonrestawsgcpazuredockerkubernetesci/cd

Platform: workday
Effort: long