Enterprise AI Architect – Claude Code & Agentic Engineering
Summary
Build and lead reusable AI agent capabilities (Claude Code Skills) for enterprise workflows, defining architecture, standards, and engineering practices while coding hands-on.
Ideal Candidate Profile
The ideal candidate is a senior/principal-level AI engineer or architect who combines strong software engineering fundamentals with practical experience building AI-agent capabilities. This person should be comfortable moving between business discussions and low-level technical implementation, turning ambiguous business processes into robust AI workflows and establishing engineering standards for a broader AI platform.
This is not a purely strategic or conceptual architecture role. The successful candidate should be highly hands-on, capable of building and testing Claude Code Skills themselves while simultaneously providing technical leadership and defining the architecture, standards and engineering practices for the wider team.
Project Description
Our client is the world's largest human resources consulting firm, headquartered in New York City, with operations across more than 130 countries and major branches in over 40 countries. The organization employs more than 25,000 people globally and provides services to the majority of Fortune 500 companies.
We are looking for an experienced Enterprise AI Architect to join a team responsible for designing and building reusable AI capabilities and Claude Code Skills that can be applied across enterprise business processes and software-development workflows.
The role combines AI engineering, software architecture, prompt and context engineering, and business process automation. The successful candidate will work closely with business stakeholders and domain experts to understand complex business processes and transform them into reliable, reusable and maintainable capabilities for AI agents.
This is a hands-on technical leadership position. In addition to developing AI capabilities, the Enterprise AI Architect will establish engineering standards, review technical solutions, guide other engineers, define evaluation and release strategies, and make platform-level architectural decisions.
- Strong hands-on experience with Claude Code in real-world software-development or business-workflow scenarios.
- Proven practical experience creating Claude Code Skills or comparable reusable capabilities for AI coding agents.
- Strong understanding of modern AI engineering and agentic AI patterns, including:
- agentic workflows,
- AI agent orchestration,
- tool use,
- prompt engineering,
- context engineering,
- structured instruction design,
- reusable AI capabilities.
- Strong professional software engineering background with the ability to design, implement, review, test and maintain production-quality solutions.
- Experience translating business requirements and domain knowledge into technical designs, structured workflows and executable AI instructions.
- Practical experience evaluating, troubleshooting and improving non-deterministic AI/LLM-based solutions.
- Strong understanding of software architecture and the ability to make decisions affecting an entire AI platform or capability.
- Experience defining engineering standards, reusable components and architectural patterns.
- Ability to establish clear quality criteria for AI Skills and determine what should be accepted, redesigned or rejected during technical review.
- Ability to distinguish between functionality that belongs within an individual skill and functionality that should be implemented as shared infrastructure.
- Strong technical leadership skills, including experience reviewing other engineers' solutions, providing technical direction and resolving blockers.
- Ability to make and clearly communicate architectural decisions, including decisions related to:
- agent harnesses,
- integration architecture,
- platform architecture,
- reusable components,
- build-versus-adopt strategies,
- evaluation and release approaches.
- Strong ability to provide clear technical rationale for foundational decisions that impact the wider platform.
Nice to Have
- Hands-on experience with Claude Code plugins and/or MCP servers.
- Experience with LLM evaluation and testing frameworks such as Promptfoo, LangSmith or custom evaluation harnesses.
- Experience working in consulting, professional services or client-facing technology environments.
- Domain knowledge of:
- HR technology,
- compensation & benefits,
- payroll,
- workforce analytics.
- Experience building internal developer tooling or establishing a new technical platform/capability from the ground up.
- Public technical artefacts, such as:
- open-source AI/agent tooling,
- published Claude Code Skills or plugins,
- MCP servers,
- conference presentations,
- technical articles or blog posts focused on agentic engineering.