Enterprise AI Architect

Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The world's largest human resources consulting firm, headquartered in New York City, with main branches in 40+ countries. Over 25,000 employees operate internationally in more than 130 countries. Its services are used by 97% of Fortune 500 companies What You'll Do 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 Technical leadership over the other engineers: review, direction, unblocking What You Bring 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 Nice to have …