Lead AI Solutions Engineer

Description

The company is an AI-first global technology firm with 25+ years of engineering leadership, 2,000+ people, and 500+ active projects for Fortune 500 clients.

Its work covers AI platforms and digital transformation, delivered in partnership with enterprise leaders.

The team is ambitious, works closely together, and keeps growing.

The client is the largest human resources consulting firm in the world, based in New York City, with main offices in 40+ countries.

It employs over 25,000 people across more than 130 countries, and 97% of Fortune 500 companies rely on its services.

Responsibilities

• Work with business stakeholders and domain experts to learn their goals, processes, limits, and expected results.
• Review requirements, documents, examples, templates, and other reference material from stakeholders.
• Find workflows and use cases that Claude Code Skills can build or improve.
• Design, build, test, and maintain reusable Claude Code Skills.
• Write clear skill instructions, supporting scripts, reference material, validation logic, and reusable workflow components.
• Turn complex or unclear business processes into structured instructions that AI agents can execute.
• Assess skill behavior against realistic scenarios, test cases, and acceptance criteria.
• Make skills more reliable, accurate, easy to use, and easy to maintain through repeated testing and stakeholder feedback.

Requirements

• You have hands-on experience using Claude Code in real software development or business workflows.
• You have built Claude Code Skills or comparable reusable capabilities for AI coding agents.
• You understand modern AI engineering patterns, such as agentic workflows, tool use, prompt engineering, context engineering, and structured instruction design.
• You have a proven record of building, reviewing, testing, and maintaining production-quality software.
• You can turn business requirements and domain knowledge into clear technical designs and executable workflows.
• You have experience evaluating and improving non-deterministic AI solutions.
• You have hands-on experience with Claude Code, including authoring Claude Code Skills, plugins, or MCP servers.
• You have used evaluation tooling for LLM systems, such as promptfoo, LangSmith, or custom harnesses.
• You have a consulting or professional services background.
• You have domain exposure to HR technology, compensation and benefits, payroll, or workforce analytics.
• You have built internal developer tooling or set up a platform capability.
• You have public work, such as open-source agent tooling, published skills or plugins, conference talks, or technical writing on agentic engineering.
• You are fluent in English at a professional level.