FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Principal Architect, Express AI Foundations
AdobePrincipal Architect developing and implementing scalable AI frameworks for Adobe Express. Merging ML skills with distributed systems for creativity in design and personalization.
Posted 7/22/2026full-timeSan Jose • California • 🇺🇸 United StatesLead💰 $206,400 - $379,100 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and evolving AI infrastructure, with a strong focus on large-scale distributed systems and machine learning platforms. Proven ability to mentor teams and drive architectural strategy while collaborating across research and product teams.
Highest-signal resume keywords
Large-Scale Distributed SystemsAI InfrastructurePython ProgrammingLLM Orchestration FrameworksData Pipeline Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonJavaC++GoMachine Learning FundamentalsLLM FundamentalsData Pipeline ScalingHigh-Performance Runtime ServicesEnd-to-End Systems DevelopmentExperimentation and Evaluation Systems
Soft Skills
Strong CommunicationCollaboration SkillsMentoring
Tools & Technologies
LLM Orchestration FrameworksData Infrastructure
Industry Keywords
Agentic AI PatternsArchitectural StrategyAI Stack
Tech Stack
Tools & technologiesDistributed SystemsGoJavaPython
About the role
Key responsibilities & impact- Architect and evolve the complete AI stack for Adobe Express
- Develop and operationalize end-to-end systems
- Develop large-scale data and inference infrastructure
- Develop high-performance runtime services for inference and orchestration
- Lead development of experimentation and evaluation systems
- Work closely with applied research, product, and platform teams
- Drive architectural strategy for Express AI Foundations
- Mentor senior engineers and scientists
Requirements
What you’ll need- 10+ years of experience in large-scale distributed systems AI infrastructure, or ML platform engineering
- Proficiency in Python, Java, C++, or Go
- Hands-on experience with LLM orchestration frameworks
- Deep understanding of ML and LLM fundamentals
- Familiarity with Agentic AI patterns
- Strong communication and collaboration skills
- Proven expertise in building and scaling data pipelines
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
- Remote work options