Sr. Principal Engineer Architect
New
United StatesFull-TimePrincipal
Salary159,750 - 240,750 USD per year
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Job Details
- Experience
- 12+ years
- Required Skills
- PythonDistributed Systems
Requirements
- 12+ years of software engineering experience with strong expertise in distributed systems and large-scale architecture design.
- Proven experience leading the design and delivery of complex, high-scale, production-grade systems in cloud environments.
- Strong hands-on engineering background with deep system design and coding capability.
- Demonstrated ability to define and influence cross-organizational technical strategy in fast-moving environments.
- Experience building or contributing to AI/ML systems, including LLM-based applications, agent frameworks, retrieval systems, or multi-agent architectures.
- Strong understanding of scalable infrastructure, observability, and reliability engineering principles.
- Experience translating advanced technical systems into measurable business impact and customer-facing value.
- Preferred experience building 0→1 AI platforms or consumer-facing ecommerce products in ambiguous environments.
- Excellent communication and leadership skills with the ability to mentor senior engineers and influence technical direction across teams.
Responsibilities
- Architect and build scalable Agentic AI platforms, including multi-agent systems that operate across end-to-end customer journeys and enable intelligent automation and personalization.
- Define and evolve core platform abstractions and reusable AI capabilities that allow teams across the organization to independently build and deploy AI-powered experiences.
- Lead the technical strategy for AI systems leveraging multimodal data (such as images, metadata, and behavioral signals) to drive personalization at scale.
- Design and implement foundational infrastructure for AI platforms, including orchestration systems, scalable inference layers, and evaluation frameworks for quality, safety, and performance.
- Remain deeply hands-on in system design, prototyping, coding, and production debugging, setting a high bar for engineering excellence.
- Partner with Product, UX, and Data teams to translate AI capabilities into measurable business outcomes such as conversion, engagement, and revenue growth.
- Influence engineering practices across multiple domains including ecommerce, personalization, and marketing systems, while mentoring senior engineers and driving AI-first adoption.
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