Lead AI Engineer | Healthcare Solutions | GenAI and LLM
Summary
Lead a team building production-grade generative AI and LLM solutions for healthcare, focusing on multi-agent workflows, RAG, and cloud-native deployment.
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
- Inspire, mentor, and grow a elite engineering team building production-ready, high-impact AI solutions.
- Drive end-to-end design and deployment for enterprise-grade generative AI and advanced LLM applications.
- Direct the creation of sophisticated multi-agent workflows, tool integrations, and next-gen orchestration platforms.
- Establish world-class AI engineering standards across model evaluation, continuous testing, CI/CD, and inference optimization.
- Partner closely with Research and Product leaders to turn cutting-edge AI breakthroughs into commercial products.
- Continuously evaluate and adopt emerging AI frameworks to push the boundaries of product quality and team output.
Skills and Requirements
- Minimally 8 years in Software/AI engineering or ML, with at least 3 years successfully leading technical engineering teams.
- Hands-on experience delivering production-grade AI/LLM applications at scale.
- Deep mastery of Python, PyTorch, and the Hugging Face ecosystem.
- Expertise in fine-tuning, prompt engineering/tool calling, RAG architectures, and multi-agent systems.
- If possible, strong background in cloud-native engineering (Docker, Kubernetes, GCP, or Azure) and inference optimization.
- 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)