Solution Architect (Angular+Node.js+AI)

About the Role

We are looking for a Solution Architect / Agentic Systems Engineer Lead to join our Design Team. You will own the technical architecture for web products in the acquiring business line — payment pages, merchant dashboards, marketing websites — and lead the design and implementation of AI-powered automation pipelines that transform how the team works: from design-to-code generation to automated QA and design system management.

This is not a pure coding role. You will make architectural decisions, design multi-agent systems, build automation infrastructure, and mentor a small team of AI-native developers and designers.

Responsibilities

Architecture & Technical Leadership

  - Define and own technical architecture for web products: payment pages (Angular SPA),

  merchant dashboards (Angular/NestJS), marketing websites (PHP/JS/SCSS)

  - Make technology decisions, document them (ADRs), and maintain the team's tech radar

  - Design APIs and data flows between frontend, BFF (NestJS), and backend services

  (PostgreSQL, MongoDB, Redis, Oracle)

  - Ensure PCI DSS compliance in payment-facing interfaces

  - Conduct architecture reviews, lead technical discussions, mentor developers

  Agentic Systems & AI Automation

  - Design and implement multi-agent pipelines that automate team workflows:

  design-to-code, design system audit, visual QA, component generation

  - Build and maintain MCP servers and tool integrations for AI agents used by the team

  - Architect the Design System as Code pipeline: Figma → Tokens → Components → Code → QA,

  with AI at every stage

  - Implement LLM integration patterns: structured output, function calling, RAG,

  retry/fallback strategies

  - Ensure AI system reliability: hallucination detection, output validation, graceful

  degradation

Design System & Infrastructure

  - Own the technical side of the shared component library (Elemental UI): architecture, token system, theming, versioning

  - Design and maintain CI/CD pipelines (GitLab CI, Docker) with AI-powered checks (visual

  regression, accessibility, code quality)

  - Manage iFrame integration patterns and cross-origin communication for embedded

  interfaces

AI-Native Skills

- Multi-agent systems & AI tooling (agents, MCP, orchestration, tools)

- LLM integrations (RAG, function calling, structured outputs, validation)

- AI-driven automation pipelines (design-to-code, design systems, CI/CD)

- AI reliability & prompt engineering (fallbacks, hallucination control, system prompts)

What You’ll Be Doing

- 5+ years of commercial experience in full-stack or backend development, with at least 2

   years in an architect or tech lead role

  - Proven experience designing system architecture — APIs, data flows, service

  interactions, not just writing code

  - Strong knowledge of TypeScript, Angular, Node.js/NestJS

  - Experience with PostgreSQL, MongoDB, Redis in production — schema design, query

  optimization, caching strategies

  - Proficiency with Docker and GitLab CI/CD — building and maintaining pipelines, not just

   using them

  - Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) — building real

  integrations, not just prompting in a chat

  - Understanding of agent frameworks and patterns (LangChain, CrewAI, Claude Code, MCP, or

   similar)

  - Experience designing and maintaining component libraries or design systems

  - Knowledge of SOLID, DDD, and ability to make pragmatic architectural trade-offs

  - Strong communication skills — ability to explain technical decisions to designers, POs,

   and stakeholders