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# Senior Principal Software Engineer

- **Company:** Shutterfly, Inc.
- **Location:** Eden Prairie, MN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Automated Storage and Retrieval Systems, Software Debugging, Distributed Systems, Software Engineering, Cloud Platform System, Large Language Models, Multi-Agent Systems, Agentic-AI, Build Management, AI Platforms, Machine Learning Operations, Software Coding
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/7_8302AD927C0C59EE92AAD785937DFDE6

## About the Role

Lead Across the OrganizationInfluence architecture and execution across multiple teams and domains: Ecommerce platform (shopping, cart, checkout) Creation flows and personalization systems Marketing technology and lifecycle platforms Mentor senior engineers and leaders; raise the bar on AI and system design excellence Champion adoption of agentic AI and AI-first development practices across engineering What Success Looks LikeAgentic AI systems measurably improve conversion, AOV, and engagement AI capabilities are deeply embedded across customer journeys Teams adopt AI-first development practices at scale Platform enables rapid experimentation and innovation across orgsBasic QualificationsBachelors degree in an Engineering discipline or Computer Science12+ 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 impactPreferred QualificationsMasters degree in an Engineering discipline or Computer ScienceExperience building 01 AI platforms or products in ambiguous, fast-moving environmentsExperience 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 Supporting a diverse and inclusive workforce is important to Shutterfly not only because it directly reflects our value of Embracing our Differences, but also because it's the right thing to do for our business and for our people.

## Description

That's why our family of brands helps customers create products and capture moments that reflect who they uniquely are.We are seeking a Senior Principal Software Engineer to lead the design and development of next-generation Agentic AI platforms and applications that power personalization, lifecycle engagement, and customer journeys across Shutterfly.
This is a high-impact, hands-on technical leadership role responsible for shaping the architecture, design and implementation of AI systems that directly drive conversion, customer satisfaction, and long-term growth.What You'll DoOwn and Build Agentic AI PlatformsArchitect and build scalable agentic AI systems that power various seamless experiences for customers that drive conversion and customer delight.Develop multi-agent systems that reason, plan, and take actions across tools and services Build Autonomous agents operating across end-to-end customer journeys Build reusable platforms, not one-off solutions Enable multiple teams to innovate independentlyDrive End-to-End Technical StrategyDefine platform abstractions and reusable capabilities that enable teams across the organization to build and deploy AI-powered experiences independentlyContribute to, define and lead architecture for AI platforms integrated into ShutterflyBuild foundational capabilities including: Evaluation frameworks
for AI quality, safety, and business impact Scalable inference and orchestration infrastructure Ensure systems are highly available, performant, and production-grade at scale Be Deeply Hands-OnMaintain deep hands-on involvement in prototyping, architecture, and critical production systems, setting the standard for engineering excellence.Leverage modern AI tooling (LLMs, agents, vector databases, orchestration frameworks) Set the standard for AI-driven engineering productivity and development practices Lead by example in coding, design reviews, and system debugging Deliver Measurable Business ImpactDefine and track AI-specific success metrics, including model quality, latency, cost efficiency, and business KPIsPartner with Product, UX, and Data teams to translate AI capabilities into: Increased conversion and revenue Improved customer experience and engagement Faster time-to-market for new capabilities Drive experimentation (A/B testing) and ensure AI systems deliver quantifiable outcomes