AI Solutions Engineer / Forward Deployed Engineer

About the Client

A leading global professional services organization specializing in human capital, workforce strategy, and business consulting. With a presence across 40+ countries and a team of more than 20,000 professionals, the organization supports clients across 100+ markets worldwide. Its diverse client base includes many of the world’s largest and most established companies, providing strategic advisory, data-driven insights, and innovative solutions to complex workforce and business challenges.

Role Overview

We are looking for an experienced AI Solutions Engineer / Forward Deployed Engineer to design and build reusable skills and solutions for Claude Code.

In this role, you will work closely with business stakeholders and domain experts to translate business requirements, reference materials, and operational knowledge into reliable, reusable Claude Code Skills.

This is a hands-on engineering role at the intersection of software development, AI/prompt and context engineering, and business process automation. You will help shape AI-powered solutions that address real-world business challenges while ensuring they are robust, scalable, and maintainable.

Required:

• 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.

Nice to have:

• Hands-on experience 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