What are the responsibilities and job description for the Sr. AI Systems Engineer- Agentic and Productivity Systems position at Adobe Systems?
The Opportunity
The Creative Cloud Engineering organization is building the next generation of AI-powered engineering infrastructure to accelerate developer productivity and operational excellence across the Creative Cloud ecosystem. As we expand into AI-driven workflows across developer productivity and platform initiatives, we are looking for a Senior AI Systems Engineer who operates at the intersection of experimentation and production systems. This role focuses on designing, orchestrating, and operationalizing agent-based systems that improve engineering workflows across CI/CD, developer tooling, and operational diagnostics. This is not a research role and not a prompt-engineering role. This is a systems engineering role focused on building durable infrastructure. You will help build AI-native engineering capabilities that compound engineering velocity across Creative Cloud over time.
What You'll Do
Agentic Workflow Development
Design and prototype agent-based systems for engineering workflows such as CI diagnostics, code review automation, build failure triage, and autonomous debugging
Develop multi-agent orchestration patterns with structured state, memory, and control boundaries
Rapidly evaluate emerging AI frameworks, agent tooling, and developer AI platforms in real-world engineering environments
AI Systems Infrastructure
Build reusable orchestration layers and service architectures for AI-powered engineering systems
Develop structured evaluation pipelines including trace-based evaluation and regression testing for agent behavior
Implement feedback loops and instrumentation that continuously improve AI system performance
Production Hardening
Convert experimental workflows into secure, scalable, production-grade services
Implement observability, tracing, cost controls, and model routing
Ensure reliability, operational stability, and measurable impact of AI-powered systems
Platform Strategy & Collaboration
Define internal standards for AI experimentation, evaluation, deployment, and monitoring
Partner with DevEx, CI/CD, and platform teams across Creative Cloud to embed AI-native capabilities
Build cohesive infrastructure that prevents tool sprawl and enables reusable AI productivity systems across teams
What Success Looks Like
Production-grade AI agents integrated into engineering workflows and CI systems
A standardized evaluation and tracing framework adopted across Creative Cloud engineering teams
Measurable reductions in manual debugging, failure triage, and operational friction
Reusable AI infrastructure components leveraged across multiple engineering teams
A clear AI productivity roadmap aligned with Creative Cloud platform initiatives
Required Qualifications
8 years of software engineering experience, with demonstrated depth in systems-level work
Strong systems engineering experience (Python, Go, TypeScript, or similar)
Experience building distributed systems, developer platforms, or infrastructure services
Experience integrating LLMs or AI APIs into production systems
Experience evaluating and integrating across multiple AI providers (e.g., AWS Bedrock, Anthropic, OpenAI) including cost optimization and capacity planning
Strong understanding of observability, metrics, logging, and tracing systems
Experience operating production services at scale
Preferred Qualifications
Experience with agent frameworks (LangGraph, AutoGen, CrewAI, or similar)
Experience with embeddings, vector databases, or RAG architectures
Experience designing evaluation and benchmarking systems for AI workflows
Experience with CI/CD platforms, developer tooling, or build systems
Experience building internal developer productivity platforms
Familiarity with cost-aware model orchestration and multi-model routing
Ideal Candidate Profile
Has built and shipped an AI-powered system end-to-end, not just integrated an API
Can show a prototype they took from experiment to production
Comfortable making infrastructure decisions with incomplete information
Has debugged LLM reliability issues in production (latency, cost, failure modes, concurrency limits)
Experimental but pragmatic - prototypes quickly, productionizes effectively
Focused on measurable engineering productivity impact, not technology for its own sake
Why This Role Matters
AI is transforming how software is built. This role will help establish AI-native engineering infrastructure across Creative Cloud, enabling developers to build, test, and operate software more efficiently.
By turning early experimentation into durable platform capabilities, this role will drive long-term improvements in engineering productivity and operational excellence across Adobe.
This role is foundational to building long-term AI leverage across the organization.
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 or call 1 .
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 $173,500 -- $331,050 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 $228,600 - $331,050
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.
The Creative Cloud Engineering organization is building the next generation of AI-powered engineering infrastructure to accelerate developer productivity and operational excellence across the Creative Cloud ecosystem. As we expand into AI-driven workflows across developer productivity and platform initiatives, we are looking for a Senior AI Systems Engineer who operates at the intersection of experimentation and production systems. This role focuses on designing, orchestrating, and operationalizing agent-based systems that improve engineering workflows across CI/CD, developer tooling, and operational diagnostics. This is not a research role and not a prompt-engineering role. This is a systems engineering role focused on building durable infrastructure. You will help build AI-native engineering capabilities that compound engineering velocity across Creative Cloud over time.
What You'll Do
Agentic Workflow Development
Design and prototype agent-based systems for engineering workflows such as CI diagnostics, code review automation, build failure triage, and autonomous debugging
Develop multi-agent orchestration patterns with structured state, memory, and control boundaries
Rapidly evaluate emerging AI frameworks, agent tooling, and developer AI platforms in real-world engineering environments
AI Systems Infrastructure
Build reusable orchestration layers and service architectures for AI-powered engineering systems
Develop structured evaluation pipelines including trace-based evaluation and regression testing for agent behavior
Implement feedback loops and instrumentation that continuously improve AI system performance
Production Hardening
Convert experimental workflows into secure, scalable, production-grade services
Implement observability, tracing, cost controls, and model routing
Ensure reliability, operational stability, and measurable impact of AI-powered systems
Platform Strategy & Collaboration
Define internal standards for AI experimentation, evaluation, deployment, and monitoring
Partner with DevEx, CI/CD, and platform teams across Creative Cloud to embed AI-native capabilities
Build cohesive infrastructure that prevents tool sprawl and enables reusable AI productivity systems across teams
What Success Looks Like
Production-grade AI agents integrated into engineering workflows and CI systems
A standardized evaluation and tracing framework adopted across Creative Cloud engineering teams
Measurable reductions in manual debugging, failure triage, and operational friction
Reusable AI infrastructure components leveraged across multiple engineering teams
A clear AI productivity roadmap aligned with Creative Cloud platform initiatives
Required Qualifications
8 years of software engineering experience, with demonstrated depth in systems-level work
Strong systems engineering experience (Python, Go, TypeScript, or similar)
Experience building distributed systems, developer platforms, or infrastructure services
Experience integrating LLMs or AI APIs into production systems
Experience evaluating and integrating across multiple AI providers (e.g., AWS Bedrock, Anthropic, OpenAI) including cost optimization and capacity planning
Strong understanding of observability, metrics, logging, and tracing systems
Experience operating production services at scale
Preferred Qualifications
Experience with agent frameworks (LangGraph, AutoGen, CrewAI, or similar)
Experience with embeddings, vector databases, or RAG architectures
Experience designing evaluation and benchmarking systems for AI workflows
Experience with CI/CD platforms, developer tooling, or build systems
Experience building internal developer productivity platforms
Familiarity with cost-aware model orchestration and multi-model routing
Ideal Candidate Profile
Has built and shipped an AI-powered system end-to-end, not just integrated an API
Can show a prototype they took from experiment to production
Comfortable making infrastructure decisions with incomplete information
Has debugged LLM reliability issues in production (latency, cost, failure modes, concurrency limits)
Experimental but pragmatic - prototypes quickly, productionizes effectively
Focused on measurable engineering productivity impact, not technology for its own sake
Why This Role Matters
AI is transforming how software is built. This role will help establish AI-native engineering infrastructure across Creative Cloud, enabling developers to build, test, and operate software more efficiently.
By turning early experimentation into durable platform capabilities, this role will drive long-term improvements in engineering productivity and operational excellence across Adobe.
This role is foundational to building long-term AI leverage across the organization.
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 or call 1 .
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 $173,500 -- $331,050 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 $228,600 - $331,050
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.
Salary : $173,500