AI Context Engineer at Adobe in Lehi, UT

About the Role

  Join our Digital Employee Experience team as a Context Engineer and help define an emerging discipline at the intersection of language, system design, and enterprise operations. You'll work alongside diverse functional roles, applying hands-on expertise with large language models (LLMs) to

   improve the human experience at work. You'll own the design and implementation of pipelines that assemble the right mix of inputs—instructions, frameworks, standards, tools, and memory—ensuring models respond accurately and safely at scale, with direct impact on employee productivity and

  experience.                                                                                                                                                                                                                                                                               

  What You'll Do                                                                                                                                                                                                                                                                          

  - Partner cross-functionally to identify and structure the enterprise knowledge LLMs need to enhance productivity across business functions.

  - Build and maintain context templates combining few-shot examples, chain-of-thought scaffolding, and structured formatting.                                                                                                                                                                      

  - Design, implement, and iterate on context pipelines that assemble and deliver information to LLMs reliably in production. 

  - Develop memory mechanisms to manage conversational state across sessions, including summarization, pruning, and context compression strategies.                                                                                                                                                 

  - Own optimization of cost, latency, and reliability—balancing token limits, response time, and accuracy for production workloads.               

  - Establish and document best practices for context engineering, contributing to standards adopted across the enterprise.                                                                                                                                                                         

  - Contribute to code reviews, technical discussions, and the growth of the broader team.                                                                                                                                                                                                          

   

  What You Need to Succeed                                                                                                                                                                                                                                                                          

  - Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

  - 2–4 years of professional experience building systems or applications that leverage LLMs or NLP in a production environment.                                                                                                                                                                    

  - Proficiency in Python and hands-on experience with frameworks such as LangChain, Hugging Face, PyTorch, or TensorFlow.      

  - Solid understanding of tokenization, prompt formatting, context window constraints, and retrieval-augmented generation (RAG) patterns.

  - Experience working with APIs, data structures, and JSON in real-world integrations.                                                                                                                                                                                                             

  - Strong problem-solving skills with a track record of diagnosing and resolving ambiguous technical challenges independently.

  - Clear communicator—able to align stakeholders and translate complex concepts for non-technical audiences.                                                                                                                                                                                       

  - Collaborative by default, with a drive to share knowledge and raise the quality of work around you.                                                                                                         

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.

 

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 $114,100 -- $214,950 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.