Forward-Deployed AI Solutions Architect (Claude Code)

Bonapolia

Polska

On-site

PLN 180,000 - 240,000

Full time

8 days ago
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Job summary

Bonapolia is seeking experienced Forward Deployed Engineers to design and build reusable Claude Code Skills, bridging software development, prompt engineering, and business process automation.

You will collaborate with business stakeholders to translate requirements into executable workflows for AI agents, developing reliable, scalable skills, validation logic, and reusable components that can be deployed across projects.

Qualifications

  • Strong hands-on experience using Claude Code in real software-development or business-workflow scenarios.

Responsibilities

  • Collaborate directly with business stakeholders and domain experts to understand objectives, processes, constraints, and expected outcomes.
  • Analyse business requirements, documentation, examples, templates, and other reference materials provided by stakeholders.
  • Identify workflows and use cases that can be implemented or improved through Claude Code Skills.
  • Design, implement, test, and maintain reusable Claude Code Skills.
  • Create clear skill instructions, supporting scripts, reference materials, validation logic, and reusable workflow components.
  • Translate complex or ambiguous business processes into structured, executable instructions for AI agents.
  • Evaluate skill behaviour using realistic scenarios, test cases, and acceptance criteria.
  • Improve the reliability, accuracy, usability, and maintainability of developed skills through iterative testing and stakeholder feedback.

Skills

Claude Code
AI engineering patterns
Prompt engineering
Context engineering
Software engineering
Workflow automation

Tools

Claude Code
LangSmith
promptfoo
MCP servers

Job description

Bonapolia is seeking experienced Forward Deployed Engineers to design and build reusable Claude Code Skills, bridging software development, prompt engineering, and business process automation.

You will collaborate with business stakeholders to translate requirements into executable workflows for AI agents, developing reliable, scalable skills, validation logic, and reusable components that can be deployed across projects.

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