This job advertisement is posted in the local language, as fluency in the local language is required.
The Senior Technical Documentation Architect for ACMP Core is a strategic documentation leadership role responsible for establishing clarity, structure, and AI-readiness across the ACMP Core SaaS platform.
The role operates above individual development teams, acting as a documentation architect and governance owner for Engineering. It connects Development, QA, DevOps, Product, and Support by ensuring that technical knowledge is consistent, structured, discoverable, and consumable—both by humans and AI systems.
This position ensures that documentation is designed as a platform capability, not treated as ad-hoc or post-development activity. The Senior Technical Documentation Architect defines standards, architecture, and workflows that embed documentation into daily engineering practices and enable accurate AI-based retrieval across the organization. The role is embedded within Engineering and functions as a structural enabler of scalability, knowledge quality, and internal transparency.
Job Description:
- Documentation Governance & Standards (Ownership)
- Own Technical Documentation Governance for ACMP Core
- Define and maintain: Documentation templates, Structural standards, Naming conventions, Metadata & tagging strategy
- Establish internal documentation guidelines aligned with development practices
- Ensure documentation consistency across Confluence and Git-based repositories
- Drive documentation SLAs and lifecycle management
- Internal Engineering Documentation
- Internal engineering documentation
- API documentation (structure, examples, maintenance)
- Capabilities documentation housekeeping and maintenance
- Future: Architecture documentation
- Structuring API documentation with clear examples and testable calls
- Validating technical accuracy independently or with developers
- Ensuring CI/CD and system interactions are documented at appropriate depth
- Maintaining technical documentation hygiene and version traceability
- Supporting Content Manager by providing structured internal documentation that enables high-quality customer-facing content
- AI-Enabled Documentation Architecture (Core expectation of the role)
- Design AI-friendly documentation structures
- Implement semantic tagging for AI retrieval
- Structure documentation for embedding and RAG-based usage
- Ensure documentation supports:
- Precise AI answers
- Context-aware retrieval
- Reduced hallucinations
- Propose AI tooling improvements for:
- Draft generation
- Gap analysis
- Version tracking
- Documentation quality scoring
- Establish AI-compliant documentation practices across teams
- Technical Depth & Validation (Strong technical understanding)
- SaaS platform structures
- API design principles
- CI/CD workflows (high-level)
- System design concepts
- High-level data modeling concepts
- Write and test example API calls
- Review technical documentation critically
- Validate documentation completeness
- Optionally read code when needed for validation
- Process Integration & Continuous Improvement
- Make documentation mandatory in Definition of Done
- Propose linking documentation to PRs where appropriate
- Review documentation in sprint reviews
- Drive documentation KPIs (coverage, freshness, AI retrieval quality)
- Define documentation release readiness criteria
- Integrate documentation maintenance into team processes
- Lead documentation improvement initiatives
Required Experience & Competencies:
- Professional Experience
- 5+ years in Technical Writing within SaaS or platform environments
- Experience building or restructuring documentation ecosystems
- Experience working closely with Engineering teams
- Proven experience establishing documentation standards
- Technical Competence (Strong understanding): APIs (REST principles, request/response structure), Microservice environments, SaaS system design concepts
- Experience with Confluence, Git-based documentation, Markdown. API documentation tools (e.g., Swagger/OpenAPI)
- AI & Knowledge Architecture
- Experience using AI tools in documentation workflows
- Understanding of Semantic documentation structures, AI retrieval concepts (RAG), Embedding-aware content structuring
- Ability to design documentation optimized for AI consumption
- Capability to propose AI tooling improvements
- Soft Skills & Mindset
- Structured systems thinker
- Strong analytical mindset
- Excellent written clarity
- Comfortable challenging unclear technical concepts
- Proactive in governance and process improvements
- Able to collaborate across Engineering, QA, DevOps, Product & Support
We offer
- Work in an industry that is changing rapidly
- Dynamic organization in the international environment
- Skilled and helpful colleagues
- Opportunities for personal development
- Benefits specific in your country
- Remote work opportunities
Please submit your CV in English.