AI Context Engineer

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 ... (truncated, view full listing at source)