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).
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. ,[Architecture & Technical Leadership, Define Platform Standards: Establish and enforce quality bars, design patterns, shared infrastructure, and review criteria for well-formed AI skills., Architectural Oversight: Own the long-term technical roadmap, including evaluation frameworks, release strategies, integration patterns, and backwards compatibility., Team Guidance: Provide technical leadership and direction to engineering teams through code reviews, architectural unblocking, and mentorship., Strategic Decision-Making: Evaluate and justify platform-level choices regarding agent harnesses, integration architectures, and build-versus-adopt strategies., Skill Development & Engineering, Design & Implementation: Build, test, and maintain production-ready, reusable Claude Code Skills, supporting scripts, validation logic, and context assemblies., Process Translation: Convert complex or ambiguous business domain workflows into structured, deterministic, and executable instructions for AI agents., Testing & Evaluation: Establish realistic test suites, evaluation scenarios, and acceptance criteria to measure and improve the reliability, accuracy, and usability of non-deterministic systems., Stakeholder Collaboration & Automation, Requirements Discovery: Partner with business stakeholders and domain experts to analyze processes, constraints, and documentation to pinpoint automation opportunities., Workflow Optimization: Identify high-impact use cases across business operations that can be streamlined through custom AI agent workflows.] Requirements: AI, Claude, Python, TypeScript, Testing, LLM, CLI