Enterprise Architect Jobs

About The Position

Requirements

• Strong hands-on experience using Claude Code in real software-development or business-workflow scenarios.
• Practical experience creating Claude Code Skills or comparable reusable capabilities for AI coding agents.
• Strong understanding of modern AI engineering patterns, including agentic workflows, tool use, prompt engineering, context engineering, and structured instruction design.
• Proven hands-on software engineering experience and the ability to build, review, test, and maintain production-quality solutions.
• Ability to transform business requirements and domain knowledge into clear technical designs and executable workflows.
• Experience evaluating and improving non-deterministic AI solutions.
• English level Upper-Intermediate.

Nice To Haves

• Hands-on experience with Claude Code, and specifically with authoring Claude Code Skills, plugins, or MCP servers.
• Evaluation tooling for LLM systems (promptfoo, LangSmith, custom harnesses).
• Consulting or professional services background.
• Domain exposure to HR technology, compensation & benefits, payroll, or workforce analytics.
• Experience building internal developer tooling or standing up a platform capability.
• Public artefacts: open-source agent tooling, published skills or plugins, conference talks, technical writing on agentic engineering.

Responsibilities

• Collaborate directly with business stakeholders and domain experts to understand their objectives, processes, constraints, and expected outcomes.
• Analyze 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 behavior using realistic scenarios, test cases, and acceptance criteria.
• Improve the reliability, accuracy, usability, and maintainability of developed skills through iterative testing and stakeholder feedback.
• Own the technical shape of the whole capability, not individual skills: standards, shared components, evaluation and release strategy, backwards compatibility.
• Define and enforce what a well-formed skill looks like, what belongs in shared infrastructure, and what gets rejected in review.
• Make and justify platform-level decisions - including choices around agent harnesses, integration architecture, and build-versus-adopt strategies, while providing clear technical rationale for foundational decisions that impact the entire platform.
• Provide technical leadership over other engineers: review, direction, unblocking.

Benefits

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement
• Well-being program
• Team events & local benefits
• Sports compensation
• Referral bonuses
• Top-tier equipment provision