Data Architect

Key Responsibilities 

·  Platform Development and Evangelism:

• Build scalable AI platforms that are customer-facing.

• Evangelize the platform with customers and internal stakeholders.

• Ensure platform scalability, reliability, and performance to meet business needs.

·  Machine Learning Pipeline Design:

• Design ML pipelines for experiment management, model management, feature management, and model retraining.

• Implement A/B testing of models.

• Design APIs for model inferencing at scale.

• Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI.

LLM Serving and GPU Architecture:

• Serve as an SME in LLM serving paradigms.

• Possess deep knowledge of GPU architectures.

• Expertise in distributed training and serving of large language models.

• Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM.

Model Fine-Tuning and Optimization:

• Demonstrate proven expertise in model fine-tuning and optimization techniques.

• Achieve better latencies and accuracies in model results.

• Reduce training and resource requirements for fine-tuning LLM and LVM models.

LLM Models and Use Cases:

• Have extensive knowledge of different LLM models.

• Provide insights on the applicability of each model based on use cases.

• Proven experience in delivering end-to-end solutions from engineering to production for specific customer use cases.

DevOps and LLMOps Proficiency:

Proven expertise in DevOps and LLMOps practices. Knowledgeable in Kubernetes, Docker, and container orchestration. Deep understanding of LLM orchestration frameworks like Flowise, Langflow, and Langgraph.

Communication & Articulation

• Ability to explain complex AI/ML topics and design choices to technical and business audiences.

• Experience in presenting AI strategies and results to senior executives, highlighting impact.

• Ability to lead cross-functional discussions to clarify issues and achieve engineering consensus.

• Ability to persuade stakeholders and secures support on solution approaches.

Continuous Innovation & Adaptive Learning

• Proactively tracks emerging AI research, frameworks, and industry design patterns.

• Validates new concepts through quick experimentation and iterative "fail-fast" testing.

• Translates cutting-edge developments into practical improvements for production systems.

• Demonstrates a self-driven commitment to learning and adopting evolving AI technologies.

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.