C

AI Automation Lead

Carestream Dental United State
Remote
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AI Summary

As the first AI Automation Lead, you will define the AI automation stack, set standards, and build the foundational infrastructure. Responsibilities include designing and developing AI agents, integrating AI platforms with business tools, and writing Python scripts for complex integrations. Key requirements are 2-4 years in automation/AI integration, RAG pipeline experience, and Python proficiency.

Key Highlights
Build AI automation function from the ground up.
Define AI stack, standards, and foundational architecture.
Work directly with VP of AI to translate strategy into working agents and integrations.
Key Responsibilities
Design and develop AI agents across both pro-code and no-code platforms (Claude, Glean, Kore AI).
Define and document repeatable automation patterns that work across all three companies.
Integrate AI platforms (Claude, Agentforce etc) with existing business tools via MCPs and APIs.
Write Python scripts to handle complex integrations, data transformations, and edge cases.
Lead technical decision-making around tooling, platforms, and architecture.
Work directly with the VP of AI to review agent performance and guide workflow design.
Technical Skills Required
Python AI Integration Automation
Benefits & Perks
Compensation: $100,000 - $120,000 USD
Fully remote flexibility
Autonomy
Nice to Have
Experience with YAMLExperience with building voice agents in platforms like Bland, Retell, or ElevenLabs
Exposure to customer-facing automation or SaaS product workflows
Experience with LLM fine-tuning concepts
Experience with traditional machine learning techniques like gradient boosting, k-NN, and regression

Job Description


Position Summary

We are building an AI-powered automation function across three companies from the ground up. As our first AI Automation Lead, you will define the stack, set the standards, and build the foundation that everything else will be built on. You will work closely with our VP of AI to translate strategy into working agents and integrations — and eventually help scale those systems to our customers.

Key/Specific Job Responsibilities

  • Design and develop AI agents across both pro-code and no-code platforms (Claude, Glean, Kore AI)
  • Define and document repeatable automation patterns that work across all three companies
  • Integrate AI platforms (Claude, Agentforce etc) with existing business tools via MCPs and APIs
  • Write Python scripts to handle complex integrations, data transformations, and edge cases
  • Lead technical decision-making around tooling, platforms, and architecture
  • Work directly with the VP of AI to review agent performance and guide workflow design

Key/Critical Competencies

  • 2–4 years in automation, agentic development, AI integration, or a similar technical role
  • Experience with developing RAG pipelines and implementing vector databases
  • Hands-on experience with at least one no-code automation platform
  • Comfort with ambiguity — you build before the blueprint is complete
  • Python proficiency — agentic development, scripting, API calls, data handling, debugging
  • Strong communicator who can explain technical decisions clearly
  • Experience connecting third-party platforms via REST APIs
  • Self-directed and outcome-focused — you finish what you start

Required Skills/Preferred Skills

  • Experience with YAML
  • Experience building voice agents in platforms like Bland, Retell, or ElevenLabs
  • Exposure to customer-facing automation or SaaS product workflows
  • Experience with LLM fine-tuning concepts
  • Experience with traditional machine learning techniques like gradient boosting, k-NN, and regression

Travel

  • Minimal travel required

Why this Role?

  • You will build AI agents and workflows from scratch — real ownership, not a ticket queue
  • Work directly with senior leadership who are close to the work and fast decision-makers
  • Grow into a team lead as the function scales across three companies and into customer products
  • Based in Guadalajara with fully remote flexibility and autonomy

Compensation: $100,000 - $120,000 USD, based on experience.

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