Principal Engineer 6

Principal Computer Scientist

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 We're looking for a Principal Computer Scientist to serve as the technical leader and architect for our next-generation SaaS application. This role is ideal for someone who has deep experience in building and scaling customer-facing software and who can also guide the integration of generative AI and ML technologies into real-world applications. You'll work with engineering, product, and research teams to define and implement architectural strategies that support both robust application development and intelligent, AI-enhanced features. You'll be responsible for identifying and integrating the right generative AI or ML technologies for the job, driving and measuring product improvements, understanding and managing production systems, and improving engineering health.

Job Responsibilities

• Serve as a technical lead and architect, driving the design and implementation of scalable SaaS applications with integrated AI/ML capabilities.
• Partner with engineering and product leaders to align platform architecture with business goals and customer needs.
• Design and evolve application architecture for production readiness, including scalability, reliability, and observability.
• Guide the selection and integration of generative AI and ML technologies (e.g., LLMs, vector databases, fine-tuning frameworks) into application workflows.
• Collaborate with ML research teams to scope and implement fine-tuning or reinforcement learning (RLHF/RLAIF) strategies when needed.
• Provide technical mentorship and leadership across engineering teams.

What You'll Need to Succeed

• 15+ years of experience in full-stack software development, with a strong focus on customer-facing SaaS platforms.
• Proven success in designing and scaling distributed systems and cloud-native applications.
• Strong understanding of architectural principles for production systems, scalability, reliability, and monitoring.
• Experience integrating generative AI/ML technologies into applications.
• Experience with LLM APIs (Azure OpenAI, Amazon Bedrock).
• Understanding of vector search (ElasticSearch, MongoDB, Pinecone).
• Awareness of fine-tuning techniques (e.g., RLHF, LoRA, PEFT).
• Ability to scope and direct lightweight model...

Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status.