Principal AI-Native Systems Architect

Principal AI-Native Systems Architect

Stacking.Cash is a first-class transactional communications platform engineered to help sales organizations scale, convert, and grow at a rapid pace. We focus on enabling high-volume, high-impact customer interactions through advanced technology and automation. Our platform is built from the bedrock to support modern sales workflows, streamline communications, and optimize revenue operations.

Team members join an environment that values innovation, extreme performance, and the practical application of cutting-edge systems. If you are looking to escape legacy bureaucratic cycles and work on products where your code directly influences market-shifting sales productivity and hyper-scale growth, this is your line of sight.

Role Description

This is a full-time, fully remote role (role open to worldwide audience.) We care deeply about architectural elegance, system velocity, and high-impact output, not chaining brilliant minds to a desk or drowning you in endless corporate alignment meetings.

As the Principal AI-Native Systems Architect, you will design and evolve the end-to-end, edge-first architecture powering our transactional communications platform. You will be responsible for ensuring global scalability, ultra-low latency, and bulletproof reliability.

Instead of wrapping bloated, legacy software in superficial AI features, you will guide the design of a highly distributed, event-driven, and data-intensive system built natively for the next paradigm of computing.

Key Responsibilities

Architect the Global Edge: Design and evolve system and integration patterns optimized for high-performance edge runtimes, ensuring execution happens as close to the user as possible.

Orchestrate Model-Agnostic AI: Build robust, flexible integration layers and model-serving infrastructure that remain completely agnostic to internal ML/AI modeling, evading the vendor lock-in or metered "middleman" constraints of legacy systems.

Scale the Data Layer: Guide the design of distributed, event-driven, data-intensive systems, leveraging modern serverless database architectures and globally optimized object storage pipelines.

Drive Technical Standards: Collaborate directly with product and engineering teams on technical roadmaps, establish cutting-edge software development practices, and maintain rigorous architectural governance aligned with high-velocity business needs.

Mentor and Build: Provide technical leadership, mentor a lean team of elite engineers, and foster a culture of rapid experimentation and consequence-free iteration.

Qualifications

Expert Systems Architect: A proven track record of designing large-scale, distributed systems, with a deep understanding of modern cloud-native patterns and edge computing.

Hands-on Builder: Exceptional software development skills with proficiency in modern languages and a passion for writing clean, performant code in an agile environment.

Reliability & Observability Pro: Deep background in systems engineering, including performance optimization, low-latency execution, real-time observability, and security-by-design.

Modern Data Stack Mastery: Extensive experience managing complex integration patterns, APIs, high-throughput messaging, and serverless data pipelines across heterogeneous environments.

AI/ML Infrastructure Literacy: Practical experience architecting infrastructure for LLM-based services, event-driven orchestration layers, and high-velocity data/feature pipelines.

High-Growth/SaaS Velocity: Demonstrated ability to translate aggressive business requirements into elegant technical realities within high-growth sales tech, communications platforms, or transactional computing environments.

Education & Experience: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent real-world execution history that proves you don't need the paper). Preference is real-world execution.