Enterprise AI Architect

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; Provide technical leadership over the other engineers: review, direction, unblocking

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; Ability to own the technical shape of the whole capability, not individual skills: standards, shared components, evaluation and release strategy, backwards compatibility; Ability to define and enforce what a well-formed skill looks like, what belongs in shared infrastructure, and what gets rejected in review; Ability to 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; English level: Upper-Intermediate

Nice to have

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

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