Chief Architect AI Solutions

7 days ago

Tanauan, Calabarzon, Philippines beBeeArtificialIntelligence Full time $80,000 - $120,000
Job Title

As an Artificial Intelligence Engineering Lead, you will be responsible for architecting our AI-first future and owning the entire AI strategy across our platform.

You will work directly with our engineering team to build AI systems that deliver world-class healthcare at software scale.

This role combines deep technical expertise with strategic vision. You will ship production AI while defining our long-term roadmap. You will automate clinical workflows, build AI assistants that enhance our providers, and create systems that scale to 100 million patients.

If you are excited by making healthcare radically more accessible through AI, can build LLM reliable apps, and want your work to directly impact people - this role is for you.

Key Responsibilities:
  • Core AI Infrastructure: Build a model-agnostic AI platform that lets us switch between OpenAI, Anthropic, and open-source models seamlessly. Set up robust A/B testing to optimize performance and costs. Create intelligent routing that matches tasks to the right models. Implement comprehensive monitoring and ensure high reliability with proper fallbacks.
  • AI-Powered Clinical Care: Drive AI adoption across our clinical operating system. Find the manual processes that slow us down and automate them intelligently. Create AI assistants that make our clinical team more effective. Measure impact rigorously - every feature must demonstrably improve patient outcomes and operational efficiency.
  • AI-Powered Growth: Leverage AI to transform our conversion funnel from personalized outreach sequences to AI sales agents that close deals. Source new tools like AI video generation, voice synthesis, and behavioral prediction models and adapt them to our specific needs & infrastructure. Target human-level conversion rates while removing all manual touch-points.
Requirements:
  • 6+ years of highly relevant experience in software engineering with a focus on AI and machine learning.
  • Strong experience building production applications powered by LLMs. Prompt and context engineering, RAG systems, model fine-tuning and evaluation frameworks.
  • Strong programming skills using Typescript and/or Python.
  • Strong experience designing and building modern, customer-facing API's.
  • Comfortable building user-friendly interfaces using React or similar frameworks.
Nice to Have:
  • Experience with AI/ML infrastructure including vector databases, embedding models, and orchestration frameworks.
  • Built evaluation and monitoring systems for LLM applications in production.
  • Experience building large-scale data pipelines and distributed systems.
  • Experience with cloud platforms at enterprise scale.

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