Applied AI Lead

Role and Responsibilities

• Build and deploy AI automation solutions using Claude Code, Cowork, or other AI platforms, including agentic workflows, multi-step task execution, and MCP (Model Context Protocol) server integrations across development and knowledge work use cases.
• Write, test, and maintain Python code across AI/ML pipelines, LLM-powered applications, data processing scripts, and internal tooling.
• Work directly with business teams to uncover AI use case opportunities, join discovery workshops and weekly AI Crew meetings, and help turn operational problems into working technical solutions.
• Own assigned use cases through the full project lifecycle, from early discovery and proof-of-concept through pilot and production rollout, covering technical scoping, prompt engineering, data readiness, testing, and deployment.
• Track AI solution performance against defined KPIs, conduct ROI analysis, and iterate on models, prompts, and workflows based on results.
• Surface technical risks and blockers across active AI projects and contribute to design decisions around model selection, tool integration, and system scalability.
• Keep up with developments in AI/ML tooling, LLM frameworks, agentic AI, and RAG approaches, and share relevant findings with the team.

Skills and Qualifications

Qualifications

• Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field required; Master's with an AI/ML focus is a plus
• 2-4 years of experience in AI/ML development, software engineering, or a similar technical role
• Hands-on experience with major AI platforms such as Claude Code (Anthropic), Gemini (Google), or ChatGPT (OpenAI), including building with their respective APIs; familiarity with agentic workflows, Claude Skills, and MCP servers is a plus
• Solid Python skills, including experience with libraries such as LangChain, Pandas, NumPy

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