Agentic Outcome Engineer

Introduction   

We are seeking an Agentic Outcome Engineer to design, build, and optimize AI-powered agents that enhance how customers experience our products. You will own the end-to-end lifecycle of autonomous agent systems—from development to measurement and continuous improvement—driving exceptional customer experiences and measurable business impact. 

What You will Do   

Adobe addresses wholistically on any specific roles or duties, below are mentioned to explain the width and breadth of the nature of work : 

• Development & Integration & Orchestration: Development & Integration & Orchestration: Innovate and build on our solution. Evaluating business processes, anticipating requirements, uncovering areas for improvement, and developing and implementing solutions. Must ensuring solutions meet business needs and requirements.

• Agent Composition & Development: As business and project need, you need to build conversational, goal-focused, and workflow AI agents that solve real customer problems and integrate seamlessly with existing products and workflows. 

• Monitoring & Continuous Improvement: Track performance, quality, and safety; identify failure modes and edge cases; continuously improve using data and feedback. 

• Customer Experience: Reduce friction and errors, and lead customer discussions with clear, business-focused recommendations informed by industry trends. 

• Outcome Ownership: Define and measure success metrics (e.g., task completion, CSAT, resolution rate, time-to-resolution). Run experiments and iterate based on data-driven insights. Turn your findings into solid hypotheses and show results that will be meaningful leveraging AI /ML tech stack. Apply learnings across our customer base.

• Collaboration: Partner with product, design, support, and engineering teams to align agent capabilities with customer and business objectives. 

What You’ll Need to Succeed   

• Bachelor’s in computer science, Engineering or equivalent or other advanced education.   

• Overall work experience of 5-7 years in software product development.  

• Strong software engineering skills (e.g., Python, TypeScript/JavaScript, or similar) and RESTful API services (XML/JSON), data pipelines, and observability.  

• Good understanding & knowledge of public clouds viz. AWS, Azure & GCP.  

• Familiarity & hands on experience with front end development like HTML, CSS, JavaScript, React/Angular. Experience working with web development solutions such as Progressive Web Applications (PWA) and Single-Page Applications (SPA).   

• Good understanding in DOM, WCM core components and templates.   

• Good understanding on Observability, knowledge on monitoring and reporting (New Relic, Nagios, Icinga, Splunk)  is required, experience with long-term operations in this tech stack is a plus.

• Knowledge with Real User Monitoring (RUM) tools and analysis.  Having hands on experience is big plus.

• Familiarity with Linux / Windows, Web Server, Middleware applications & their operations.   

• Huge plus if candidate has hands-on experience on building AI/ML system or agentic frameworks (e.g., LLM-based apps, AI agents, RAG, safety measurements or automation etc.), but knowledge & understanding is very much necessary. Strong understanding and familiarity with prompt engineering, AI tool use is must.

• Results-focused approach: experience defining metrics, A/B or similar experiments, and using data to prioritize and improve products.   

• Customer focus - experience working with user research, support data, or product analytics to improve user or customer experience.   

Motivation and flexibility - working well in a fast paced, collaborative team environment. 

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 or call +1 408-536-3015. 

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.