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HugeInc

Solutions Architect

Posted 2 hours ago
5-10 years experience
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AI Summary

The Solutions Architect will lead the design and implementation of composable, event-driven enterprise platforms and intelligent agentic workflows. They are responsible for defining technical feasibility, overseeing backend performance, and managing the Architectural Decision Record process for engineering teams.

Location: This position is remote within Colombia.

About technology.

Technology at Huge is powered by a global practice of creative technologists—spanning Engineers, QA specialists, Business Analysts, Data Scientists, and ML Architects—we look beyond standard patterns to build resilient, enterprise-grade systems. We combine deep engineering rigor with innovation at the edge of agentic AI, modern data stacks, and cloud infrastructure. We don't wait for industry standards to set themselves; we engineer the intelligent systems that turn audacious strategic vision into production-ready reality.

The role.

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.

What you’ll be doing.

  • 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.

What we’d like to see.

  • 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 to amplify software design and execution quality.
  • 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.

What success looks like in this role.

  • Successfully establish a scalable, composable platform blueprint that seamlessly connects enterprise frontends with intelligent backend services.
  • Move the organization beyond static API calls toward event-driven, agentic workflow orchestration that optimizes time-to-first-token and response latency.
  • Empower engineering teams through crystal-clear ADRs, robust spec-driven monorepo structures, and proactive roadmap handoffs.

If the selected candidate holds a degree in Engineering or a related profession, they must present their professional license. To verify your degree requires this license, please visit www.copnia.gov.co and https://www.consejoprofesional.org.co/. 

About Huge.

Huge is a design and technology company. We create products and experiences that grow the world’s most ambitious brands. We do this by designing experiences for people, not users, and uncovering new sources of growth by leveraging our creative talent, our proprietary platform LIVE and unlocking the advantages brought to us by emerging technologies. We believe all experiences should be intelligent, shoppable and unique to every brand.

Huge’s nearly 1,000 thinkers, tinkerers, makers and creators, have been problem-solving across North America, Europe, and Latin America for over 25 years. Interested? You’ll find more information at www.hugeinc.com.

Huge is committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or if you’re parenting the next generation of innovators, we firmly believe that our work is at its best when everyone feels free to be their most authentic self.

Huge is an equal opportunity employer (EOE). We strongly support diversity in the workforce. We are committed to an inclusive, barrier-free recruitment and selection process and work environment. If you are contacted for a job opportunity, please advise us of any accommodation needed to ensure you have access to a fair and equitable process. Any information received relating to accommodation will be addressed confidentially.

Workers shall not be required to pay employers’ or agents’ recruitment fees or other related fees for their employment. If any such fees are found to have been paid by workers, such fees shall be repaid to the worker.


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