
Creativity for all
Computer Scientist - II at Adobe
About the role
Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to craft beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to building exceptional employee experiences where everyone is respected and has equal opportunity. We know that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
Join the Brand Concierge team, a key initiative within Adobe Experience Cloud. The team is passionate about building AI-powered, conversational, and agentic experiences. These experiences help brands engage with customers in intelligent, contextual, and personalized ways.
As a Senior Computer Scientist, you will play a critical role in shaping the technical vision, architecture, and execution strategy for next-generation Gen AI-powered concierge experiences. You will work at the intersection of distributed systems, Generative AI, and real-time customer interaction platforms, driving innovation that directly impacts Adobe’s enterprise customers.
This is a high-impact role requiring deep technical expertise, architectural leadership, and cross-functional influence across engineering, product, and AI research teams.
What You’ll Do
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Architect and build scalable, low-latency distributed systems for AI-driven customer experiences.
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Design and integrate Generative AI solutions (LLMs, RAG, agentic workflows) into production systems.
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Define technical strategy, system design, and API architecture across services.
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Collaborate with AI, product, and UX teams to deliver intuitive, high-impact experiences.
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Drive engineering excellence through design reviews, best practices, and mentorship.
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Ensure systems meet enterprise standards for scalability, reliability, and security.
What You Need to Succeed
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Bachelor’s or Master’s in Computer Science or related field.
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10+ years of experience building and architecting large-scale distributed systems.
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Strong backend expertise (Java, Python, or similar) and microservices architecture.
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Experience with cloud platforms (AWS/Azure/GCP) and Kubernetes.
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Hands-on experience with Generative AI systems (LLMs, RAG, or conversational platforms).
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Strong system design, problem-solving, and cross-team collaboration skills.
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 Gen Studio 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.
Required skills
System architecture
Distributed systems
Generative AI
Real-time systems
Technical leadership
Platform engineering
Enterprise software
Cross-functional collaboration
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About Adobe

Adobe
PublicAdobe Inc., formerly Adobe Systems Incorporated, is an American multinational computer software company based in San Jose, California.
10,001+
Employees
San Jose
Headquarters
$126B
Valuation
Reviews
10 reviews
4.4
10 reviews
Work-life balance
3.2
Compensation
3.8
Culture
4.6
Career
3.4
Management
4.1
78%
Recommend to a friend
Pros
Great company culture and team environment
Innovative projects and creative freedom
Good benefits and compensation
Cons
High pressure and stress from expectations
Work-life balance challenges
Fast-paced and overwhelming environment
Salary Ranges
751 data points
Junior/L3
L2
L6
Mid/L4
Senior/L5
Staff/L6
L3
L4
L5
Junior/L3 · Data Scientist L2
0 reports
$175,386
total per year
Base
-
Stock
-
Bonus
-
$149,078
$201,694
Interview experience
3 interviews
Difficulty
3.0
/ 5
Interview process
1
Application Review
2
Online Assessment
3
Technical Interview
4
Behavioral Interview
5
Final Decision
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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