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Role Description

The Lead AI Engineer will play a pivotal role in advancing healthcare artificial intelligence (AI) initiatives by developing and training AI tools aimed at automating and optimizing clinical workflows, operational efficiencies, and administrative tasks. This is your opportunity to design, build, deploy, and operate production-grade AI systems that automate and optimize clinical, operational, and administrative workflows across the institution.

A day in the life of the Lead AI Engineer includes:

• Working with institutional stakeholders to deploy and integrate sophisticated AI systems.
• Rigorously testing, validating, and tracking learning models.
• Troubleshooting issues to ensure system accuracy and reliability.
• Implementing AI solutions that are reliable, explainable, auditable, and safe to operate in real-world clinical and operational environments.
• Collaborating with analytics, data scientists, IT, informatics, and business stakeholders.

Qualifications

• Master’s degree in Computer Science, Computer Engineering, Data Science, Information Technology, or related field required.
• PhD in a related field preferred, especially where accompanied by demonstrated delivery of production AI systems.

Requirements

• 5 years in designing high-level architectures and developing solutions for large scale AI/ML systems.
• 5+ years of experience designing architectures and building production-grade AI/ML systems.
• 5+ years experience developing and deploying AI solutions using modern techniques (e.g., ML, NLP, LLM-based systems).
• Proven experience with MLOps / LLMOps practices.
• Experience implementing monitoring, logging, and alerting for AI systems.
• Previous experience in process/workflow analysis and implementing AI solutions.
• Proficiency in AI technologies, machine learning, data analytics, and project management tools.
• Strong technical acumen to translate needs into engineering requirements.
• Strong background building and deploying ML systems using supervised and unsupervised approaches.
• Strong background in industry use cases built on deep learning and machine learning techniques.
• Deep learning frameworks such as TensorFlow, Keras, PyTorch, Time series analysis, anomaly detection, forecasting, predictive modeling, graph-based neural networks, Bayesian statistics, and text analytics.

Benefits

• Compensation range: $94,640 - $169,520 per year for the role of Lead AI Engineer.
• Exceptional benefits offered by St. Jude.

Company Description

St. Jude Children’s Research Hospital is dedicated to advancing cures and means of prevention for pediatric catastrophic diseases through research and treatment.