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Solution Architect

Actively Reviewing the Applications

WIN Holding

On-site
Posted 4 days ago Apply by June 10, 2026

Job Description

Role Summary

We need a hands-on architect who can:

  • Own and lead Fotopia’s solution and platform architecture end-to-end.
  • Introduce and operationalize AI-assisted engineering across the team (not “AI hype” — real workflows, governance, and measurable impact).
  • Champion and standardize the use of Claude and OpenClaw as core tools for design, coding, testing, documentation, and delivery acceleration.
  • Upgrade our culture: make AI usage consistent, responsible, secure, and productive.

Key Responsibilities (R&R)

  • Architecture Leadership
  • Own Fotopia’s target architecture (application + data + integrations + security + deployment).
  • Define and maintain architecture standards: design patterns, service boundaries, APIs, data models, versioning, and documentation.
  • Ensure the platform supports scalability, performance, reliability, and maintainability.
  • Drive architectural decisions with strong justification (trade-offs, risks, cost, complexity).
  • Lead technical discovery, solution design, and architecture reviews for new initiatives.
  • AI-Driven Engineering Enablement (Core Requirement)
  • Build an AI adoption program for engineering:
  • Standard AI workflows (requirements → design → code → tests → documentation).
  • AI coding standards, prompt/playbook templates, and code review rules.
  • Secure usage policies (data handling, secrets, customer data, IP considerations).
  • Make the team proficient in using AI for:
  • Refactoring and modernization
  • Test generation and coverage improvement
  • Documentation and knowledge base creation
  • Debugging and incident analysis
  • Architectural option analysis and decision support
  • Claude & Ai Development tools
  • Establish best practices for using Claude , Coursera, Antigravity and OpenClaw effectively:
  • Prompt patterns, agent workflows, guardrails, and quality control.
  • Tooling integration into dev processes (CI/CD, documentation, code analysis).
  • Act as the internal coach and “multiplier” who lifts the whole team’s capability.
  • D) Delivery & Governance
  • Partner with Product, Engineering Managers, and Tech Leads to ensure architecture aligns with roadmap and delivery.
  • Define non-functional requirements (NFRs) and acceptance criteria.
  • Create architecture artifacts: HLD/LLD, C4 diagrams, integration specs, API contracts, data flow diagrams, threat models.
  • Improve technical governance: design reviews, ADRs, technical debt prioritization, and architecture runway planning.
  • Team & Culture Change
  • Mentor engineers and tech leads; elevate skills and accountability.
  • Drive a culture of engineering excellence: clean architecture, testing discipline, observability, performance hygiene.
  • Introduce measurable KPIs for improvement (lead time, defect rate, test coverage, incident rate, rework).

Required Qualifications

  • 8–12+ years experience in software engineering with strong recent experience as a Solution Architect / Software Architect.
  • Proven track record designing scalable systems (monolith-to-modular, services, event-driven, integrations).
  • Strong knowledge of:
  • API design (REST/GraphQL), integration patterns, messaging (as applicable)
  • Security fundamentals (authn/authz, OWASP concepts, secrets management)
  • Cloud and DevOps concepts (CI/CD, containers, environments, deployments)
  • Databases and data modeling (SQL + ideally exposure to NoSQL/search)
  • Observability (logging, metrics, tracing) and performance tuning
  • Strong hands-on usage of Claude and OpenClaw in real engineering workflows (not theoretical).
  • Excellent communication skills: can simplify, document, and align stakeholders.
  • Ability to lead without authority and drive change across teams.

Preferred / Nice-to-Have

  • Experience with document management, workflow engines, OCR/IDP, ECM domains, or enterprise integrations.
  • Experience in multi-tenant SaaS architecture and/or platform engineering.
  • Familiarity with agentic tools, structured prompting, evaluation frameworks, and AI governance.
  • Experience building internal engineering playbooks and training programs.
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