Adobe
Full Stack Software Architect - Agentic AI
Adobe, San Francisco, California, United States, 94199
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 create 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 creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity Adobe is looking for a
Full Stack Software Architect
to join a fast-moving team focused on
rapidly prototyping new product ideas
and exploring emerging opportunities in
AI-powered experiences . This team operates at the intersection of
data ,
visualization , and
AI , building interactive experiences that help users understand and act on insights in new ways.
You’ll work closely with designers, product managers, and product strategists to develop intelligent prototypes and systems that showcase the next generation of AI-enabled Adobe experiences. From backend architecture to LLM orchestration, you’ll help shape how generative AI becomes a seamless part of Adobe’s ecosystem.
What You’ll Do
Design, build, and deploy
AI-powered full-stack prototypes and applications
that explore new product directions.
Use frameworks like
LangChain
and
LangGraph
to develop
agentic workflows
and
multi-step reasoning systems
powered by LLMs.
Architect and implement
tool-based AI systems , including
tool calling, custom tool creation, and multi-agent coordination .
Integrate
LLMs and generative AI APIs
(e.g., OpenAI, Anthropic, Vertex AI) into interactive applications that enhance creativity and user experience.
Use
LangSmith
or similar platforms to test, evaluate, and monitor LLM performance, reliability, and quality.
Collaborate with designers, PMs, and researchers to
prototype rapidly
and validate new ideas.
Build and maintain
robust backend services
and APIs that power AI-driven experiences.
Stay current with emerging
AI frameworks, model capabilities, and evaluation techniques
to identify new opportunities for innovation.
Establish and uphold strong engineering practices for
testing, observability, and continuous integration , even in fast-paced prototype environments.
What You Need to Succeed
Bachelor’s degree in Computer Science, Information Technology, or a related field — or equivalent practical experience.
8+ years of professional experience
developing full-stack web applications.
Strong proficiency with
JavaScript/TypeScript ,
React , and
Node.js
(or similar frameworks).
Proven experience architecting and deploying
AI or LLM-powered applications
using frameworks like
LangChain ,
LangGraph , or equivalent.
Deep understanding of
AI agent orchestration ,
tool calling ,
MCPs , and
AI-focused backend architectures .
Experience designing
resilient, scalable backend services
that integrate LLMs, APIs, and data sources.
Experience using
LangSmith
or similar tools for
LLM testing, evaluation, and monitoring .
Strong understanding of
prompt engineering ,
context management ,
retrieval pipelines , and
evaluation methodologies .
A collaborative mindset and a passion for
rapid experimentation and discovery .
Familiarity with
cloud platforms
such as
AWS, Azure, or GCP .
Nice to Have
Experience designing
multi-agent systems
or integrating
custom tools and APIs
into agentic workflows.
Familiarity with
vector databases ,
retrieval-augmented generation (RAG) , or
knowledge graph architectures .
Experience developing
AI evaluation frameworks
or
LLM observability pipelines .
Understanding of
AI ethics, privacy, and responsible AI principles .
Previous experience driving architectural direction for
AI-first products
or
large-scale distributed systems .
Passion for data visualization and data storytelling.
Familiarity with data visualization libraries such as
Vega ,
Vega-Lite , and
React Spectrum Charts .
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 $153,600 – $286,600 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.
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.
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 applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com 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 (408) 536‑3015.
#J-18808-Ljbffr
The Opportunity Adobe is looking for a
Full Stack Software Architect
to join a fast-moving team focused on
rapidly prototyping new product ideas
and exploring emerging opportunities in
AI-powered experiences . This team operates at the intersection of
data ,
visualization , and
AI , building interactive experiences that help users understand and act on insights in new ways.
You’ll work closely with designers, product managers, and product strategists to develop intelligent prototypes and systems that showcase the next generation of AI-enabled Adobe experiences. From backend architecture to LLM orchestration, you’ll help shape how generative AI becomes a seamless part of Adobe’s ecosystem.
What You’ll Do
Design, build, and deploy
AI-powered full-stack prototypes and applications
that explore new product directions.
Use frameworks like
LangChain
and
LangGraph
to develop
agentic workflows
and
multi-step reasoning systems
powered by LLMs.
Architect and implement
tool-based AI systems , including
tool calling, custom tool creation, and multi-agent coordination .
Integrate
LLMs and generative AI APIs
(e.g., OpenAI, Anthropic, Vertex AI) into interactive applications that enhance creativity and user experience.
Use
LangSmith
or similar platforms to test, evaluate, and monitor LLM performance, reliability, and quality.
Collaborate with designers, PMs, and researchers to
prototype rapidly
and validate new ideas.
Build and maintain
robust backend services
and APIs that power AI-driven experiences.
Stay current with emerging
AI frameworks, model capabilities, and evaluation techniques
to identify new opportunities for innovation.
Establish and uphold strong engineering practices for
testing, observability, and continuous integration , even in fast-paced prototype environments.
What You Need to Succeed
Bachelor’s degree in Computer Science, Information Technology, or a related field — or equivalent practical experience.
8+ years of professional experience
developing full-stack web applications.
Strong proficiency with
JavaScript/TypeScript ,
React , and
Node.js
(or similar frameworks).
Proven experience architecting and deploying
AI or LLM-powered applications
using frameworks like
LangChain ,
LangGraph , or equivalent.
Deep understanding of
AI agent orchestration ,
tool calling ,
MCPs , and
AI-focused backend architectures .
Experience designing
resilient, scalable backend services
that integrate LLMs, APIs, and data sources.
Experience using
LangSmith
or similar tools for
LLM testing, evaluation, and monitoring .
Strong understanding of
prompt engineering ,
context management ,
retrieval pipelines , and
evaluation methodologies .
A collaborative mindset and a passion for
rapid experimentation and discovery .
Familiarity with
cloud platforms
such as
AWS, Azure, or GCP .
Nice to Have
Experience designing
multi-agent systems
or integrating
custom tools and APIs
into agentic workflows.
Familiarity with
vector databases ,
retrieval-augmented generation (RAG) , or
knowledge graph architectures .
Experience developing
AI evaluation frameworks
or
LLM observability pipelines .
Understanding of
AI ethics, privacy, and responsible AI principles .
Previous experience driving architectural direction for
AI-first products
or
large-scale distributed systems .
Passion for data visualization and data storytelling.
Familiarity with data visualization libraries such as
Vega ,
Vega-Lite , and
React Spectrum Charts .
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 $153,600 – $286,600 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.
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.
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 applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com 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 (408) 536‑3015.
#J-18808-Ljbffr