Solutions Architect

We are seeking a visionary AI systems Solutions Architect to lead the convergence of composable enterprise platforms, modern full-stack architectures, and cutting-edge agentic workflows. In this role, you will move beyond legacy monolithic software design to architect decentralized, event-driven platforms, API meshes, and intelligent orchestration layers. You will define how complex LLM/agentic backends and composable SaaS ecosystems interact smoothly. If you are passionate about building asynchronous, high-throughput systems that turn complex corporate data streams into real-time, intelligent user experiences, this role is built for you.

Responsibilities

Lead full-stack architecture and technical feasibility for composable, edge-rendered applications, integrating headless CMS platforms, 3rd-party DAMs, and distributed cloud runtimes (AWS, Azure, GCP); Design and deploy high-performance API mesh architectures and streaming orchestration pipelines (SSE/WebSockets) that bridge client-side interfaces with backend microservices, specialized LLM tools, and real-time data streams; Own backend and edge execution performance, implementing advanced caching, high availability (HA), disaster recovery (DR), 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 rigid guardrails and telemetry; Support technical audits and lead the Architectural Decision Record (ADR) process, translating complex systemic concepts into clear Technical Design Documents (TDDs) and execution roadmaps for engineering pods

Requirements

Background in architecting complex, data-heavy systems, composable headless setups (e.g., Contentstack, Optimizely, Contentful), and distributed microservices; Active familiarity with building or integrating modern AI tooling, vector networks, or LLM orchestration layers; Hands-on expertise in cloud-native platforms (AWS, Azure, GCP), edge functions, serverless runtimes, GraphQL/REST API orchestration, and vector/relational databases; Deep understanding of asynchronous event loops, message queues (Redis, Kafka, RabbitMQ), stateful routing, and modern frontend hosting environments (Vercel, Next.js, or modern cloud primitives); Deep experience with monorepo architectures, spec-driven development, CI/CD automation, and modern branching/release engineering; High-agency ability to navigate ambiguous requirements, prototype novel architectural solutions, and communicate complex technical trade-offs to executives and engineers alike; If the selected candidate holds a degree in Engineering or a related profession, they must present their professional license