Principal Engineer 6

Adobe • Lehi, UT

12d

About The Position

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.

Requirements

• 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 customization
• Expert-level proficiency in modern web technologies and component libraries (Lit, React)
• Deep backend engineering experience for highly-scaled, horizontally deployed microservices (Python, NodeJS, Kubernetes)
• Excellent communication and storytelling skills to convey technical vision across teams and leadership.
• Track record of multi-functional collaboration and technical leadership.

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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed