AI Architect
Posted Updated
Summary
AI Architect leading the technical direction for reusable Claude Code capabilities — designing production-grade agentic skills, MCP integrations, and platform standards while guiding engineers and translating business needs into scalable, non-deterministic AI solutions. Core stack: Claude Code, MCP, Python/TypeScript.
We are seeking an experienced AI Architect to lead the technical direction and delivery of reusable capabilities for Claude Code. In this role, you will bridge the gap between complex business requirements and cutting-edge AI execution by designing robust, production-grade skills and platform standards. Operating at the intersection of software engineering, agentic architecture, and process automation, you will act as a technical leader, guiding engineers and collaborating closely with business stakeholders to build scalable, non-deterministic AI solutions.
Required Experience & Qualifications
- AI & Agentic Engineering: Deep understanding of modern AI patterns—including agentic workflows, Model Context Protocol (MCP), tool use, prompt and context engineering, and structured instruction design.
- Hands-on Agent Experience: Proven experience applying Claude Code (or comparable AI coding agent frameworks) to complex software engineering or business automation problems.
- Core Software Engineering: Solid background in building, reviewing, and maintaining production-quality software solutions using modern programming languages (e.g., Python, TypeScript).
- System Architecture & Ownership: Demonstrated ability to make and defend foundational platform decisions, design shared developer infrastructure, and govern platform-level standards.
- Evaluation of Non-Deterministic Systems: Hands-on experience testing, debugging, and improving non-deterministic LLM-driven applications.
- Business-to-Technical Translation: Ability to interface with non-technical stakeholders, extract operational knowledge, and translate it into robust technical designs.
Preferred Qualifications (Nice to Have)
- Claude Ecosystem Mastery: Direct experience authoring official Claude Code Skills, custom plugins, or Model Context Protocol (MCP) servers.
- LLM Evaluation Frameworks: Familiarity with evaluation and observability tools such as Promptfoo, LangSmith, or custom evaluation harnesses.
- Domain Knowledge: Exposure to enterprise business domains such as HR technology, compensation & benefits, payroll, or workforce analytics.
- Developer Tooling Background: Prior experience building internal developer platforms (IDP), CLI tools, or enterprise integration harnesses.
- Consulting & Public Artifacts: Background in technical consulting/professional services, or public contributions (open-source agent tooling, published skills/plugins, technical articles, or conference talks on agentic engineering).