Senior Principal Software Engineer
$159,750–$225,500 year
RemoteCalifornia, United States or Arizona, United States
Job Summary
Architect and build scalable agentic AI systems that power seamless customer experiences driving conversion and delight. Develop multi-agent systems that reason, plan, and take actions across tools while defining platform abstractions to enable independent team innovation. Lead end-to-end technical strategy by establishing evaluation frameworks for AI quality, safety, and business impact, alongside scalable inference and orchestration infrastructure. Maintain deep hands-on involvement in prototyping, architecture, and critical production systems to set standards for engineering excellence. Define and track AI-specific success metrics including model quality, latency, and cost efficiency while partnering with Product, UX, and Data teams to translate capabilities into increased revenue and engagement. Influence architecture and execution across ecommerce, personalization, and marketing technology domains while mentoring senior engineers and championing AI-first development practices.
Required Qualifications
- Bachelors degree in an Engineering discipline or Computer Science
- 12+ years of software engineering experience with deep expertise in distributed systems
- Proven track record of architecting and delivering large-scale, high-impact systems
- Experience influencing and leading cross-organizational technical strategy
- Strong hands-on coding and system design skills
- Experience operating large-scale, highly available cloud systems
- Demonstrated ability to translate advanced technology into business impact
- This is a remote role that will be based in the United States
- Preference given to candidates in the metro areas of Phoenix, AZ; Dallas, TX and/or Charlotte, NC areas
- Candidates must reside in a state in which Shutterfly is registered to do business
- This includes all US states except District of Columbia, North Dakota, Mississippi, Rhode Island, Vermont, and Wyoming
Desired Qualifications
- Masters degree in an Engineering discipline or Computer Science
- Experience building 0→1 AI platforms or products in ambiguous, fast-moving environments
- Experience building AI/ML systems, especially with: LLMs, agent frameworks, and retrieval systems
- Multi-agent architectures and orchestration
- Experience in consumer-facing products or ecommerce platforms
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