Cloud Engineer 3 - AI Agents

As a Cloud AI Agents FinOps Engineer,  you will help build AI agents, tooling, and data-driven solutions that improve cloud cost efficiency, resource utilization, and cost visibility across AWS and Azure. You will work closely with senior engineers and partner teams — to support FinOps and cloud optimization initiatives, gaining hands-on experience while growing your technical depth and impact, including designing and deploying AI agents that streamline FinOps workflows.
Key Responsibilities
Build services, and data pipelines supporting cloud cost optimization and FinOps use cases.
Design, build, and deploy AI agents (using LLM-based frameworks) for FinOps tasks such as cost anomaly detection, rightsizing recommendations, usage analysis, and reporting.
Analyze cloud usage and cost data to help identify optimization opportunities and support data-driven decisions.
Write and maintain clear technical documentation to support knowledge sharing and onboarding.
Technical Skills & Qualifications
Python and foundational software development practices.
Hands-on experience building AI agents or LLM-powered applications ,  understanding of prompt engineering, tool-calling, and RAG concepts.
AWS and/or Azure, cloud knowledge.
SQL and basic data querying and analysis.
Git and collaborative development workflows; Docker and containerized development concepts.
Experience & Background
4+ years experience in development experience in software engineering, AI agents, or tooling.
Hands-on AWS or Azure cloud exposure.
Prior experience building or experimenting with AI agents/LLM applications.
Interest in cloud cost efficiency, performance optimization, and FinOps concepts.
Collaboration & Communication
Communicates technical thinking clearly across distributed, cross-regional teams, including counterparts in US.
Comfortable working async and adjusting for time-zone overlap to keep initiatives moving.
Shows initiative while knowing when to seek guidance; open to feedback.
Internal Interview Focus Areas
Python fundamentals, Docker basics, and Git workflows.
AI agent design concepts: tool-calling, prompt design, agent orchestration basics.
SQL, data analysis fundamentals, and cloud infrastructure concepts (AWS or Azure).
Coding, Problem-solving, learning agility.
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
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Adobe for All
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Equal Employment Opportunity
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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
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