Engineering Leader: Healthcare AI (People Management + Technical Architecture)
about company Join a global technology powerhouse scaling its specialized Healthcare AI division. We build mission-critical digital cloud platforms and intelligent systems that transform complex clinical workflows-directly improving how care is delivered worldwide.
about job
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Inspire, mentor, and grow a elite engineering team building production-ready, high-impact AI solutions.
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Drive end-to-end design and deployment for enterprise-grade generative AI and advanced LLM applications.
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Direct the creation of sophisticated multi-agent workflows, tool integrations, and next-gen orchestration platforms.
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Establish world-class AI engineering standards across model evaluation, continuous testing, CI/CD, and inference optimization.
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Partner closely with Research and Product leaders to turn cutting-edge AI breakthroughs into commercial products.
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Continuously evaluate and adopt emerging AI frameworks to push the boundaries of product quality and team output.
Skills and Requirements
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Minimally 8 years in Software/AI engineering or ML, with at least 3 years successfully leading technical engineering teams.
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Hands-on experience delivering production-grade AI/LLM applications at scale.
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Deep mastery of Python, PyTorch, and the Hugging Face ecosystem.
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Expertise in fine-tuning, prompt engineering/tool calling, RAG architectures, and multi-agent systems.
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If possible, strong background in cloud-native engineering (Docker, Kubernetes, GCP, or Azure) and inference optimization.
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Exposure to 5 years focused experience with LLMs, Python, and Google Cloud Platform (GCP).
To apply online please use the 'apply' function, alternatively you may contact Evangeline. (EA: 94C3609/ R24124002)