Solutions Architect

About the role

Huge is seeking a visionary AI Systems Solutions Architect to lead the convergence of composable enterprise platforms, modern full‑stack architectures, and cutting‑edge agentic workflows. The role focuses on designing decentralized, event‑driven platforms and intelligent orchestration layers for high‑throughput, real‑time user experiences.

Key responsibilities

• Lead full‑stack architecture and technical feasibility for composable, edge‑rendered applications, integrating headless CMS platforms, third‑party DAMs, and distributed cloud runtimes (AWS, Azure, GCP).
• Design and deploy high‑performance API mesh architectures and streaming orchestration pipelines (SSE/WebSockets) that connect client interfaces with backend microservices, LLM tools, and real‑time data streams.
• Own backend and edge execution performance, implementing advanced caching, high availability, disaster recovery, token/payload chunking, and state management for multi‑turn AI/data workflows.
• Oversee monorepo structures, spec‑driven development, federated services, and automated CI/CD pipelines with strict guardrails and telemetry.
• Support technical audits and lead the Architectural Decision Record (ADR) process, translating complex concepts into clear Technical Design Documents and execution roadmaps.

Required profile

• Proven background architecting complex, data‑heavy systems and composable headless setups (e.g., Contentstack, Optimizely, Contentful).
• Active familiarity with modern AI tooling, vector networks, or LLM orchestration layers.
• Hands‑on expertise in cloud‑native platforms (AWS, Azure, GCP), edge functions, serverless runtimes, and GraphQL/REST API orchestration.
• Deep understanding of asynchronous event loops, message queues (Redis, Kafka, RabbitMQ), and modern frontend hosting environments (Vercel, Next.js).
• Experience with monorepo architectures, spec‑driven development, CI/CD automation, and modern branching/release engineering.

Required skills

• AWS, Azure, GCP
• GraphQL, REST APIs
• Kafka, RabbitMQ, Redis
• Next.js, Vercel
• Contentstack, Optimizely, Contentful
• Monorepo, CI/CD pipelines
• Serverless runtimes, edge functions