St. Jude Children's Research Hospital · 1 month ago
Lead AI Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
$95K/yr - $170K/yr
5+ years expSt. Jude Children's Research Hospital is dedicated to advancing cures and means of prevention for pediatric catastrophic diseases through research and treatment. They are seeking a Lead AI Engineer to develop and train AI tools aimed at optimizing clinical workflows and operational efficiencies, playing a crucial role in advancing healthcare AI initiatives.
BiotechnologyNon ProfitHealthcareMedical DeviceHospitalCharityHealth CareHealth DiagnosticsMedical
Responsibilities
Lead the design and engineering of production‑grade AI systems, including LLM‑based and agentic solutions, that integrate with clinical, operational, and administrative platforms
Translate institutional goals and use cases into deployable AI architectures, defining system boundaries, APIs, infrastructure components, and operational dependencies
Ensure AI systems are designed for reliability, security, scalability, and maintainability within St. Jude’s enterprise architecture
Own the end‑to‑end lifecycle of AI systems from initial deployment through ongoing operation, optimization, and retirement
Lead production deployments and ensure AI solutions are safely integrated into existing workflows without disrupting clinical or operational processes
Establish and maintain monitoring, logging, and alerting to track system performance, usage, data drift, and failure modes
Diagnose and resolve production issues, working closely with IT, informatics, and platform teams to maintain uptime and trust
Implement technical controls that support responsible AI practices, including auditability, access controls, versioning, and human‑in‑the‑loop safeguards
Partner with analytics, information security, and governance teams to ensure AI systems align with institutional AI governance standards and regulatory expectations
Document system behavior, deployment patterns, and operational procedures to support transparency, audit readiness, and long‑term sustainability
Collaborate closely with data scientists, clinicians, informaticists, and business stakeholders to translate needs into robust, operational AI solutions
Serve as a technical mentor within Analytics Services, helping establish engineering standards, patterns, and best practices for enterprise AI
Stay current on emerging AI technologies, platforms, and engineering approaches, evaluating their applicability to healthcare and enterprise operations
Qualification
Required
Master's degree in Computer Science, Computer Engineering, Data Science, Information Technology, or related field required
Minimum Requirement: 5 years in designing high level architectures and developing solutions for large scale AI/ML systems and/or building solutions for a product on AI/ML features and capabilities
Preferred
PhD in a related field preferred, especially where accompanied by demonstrated delivery of production AI systems
5+ years of experience designing architectures and building production-grade AI/ML systems (not just prototypes), including deployment, monitoring, and ongoing operations in a regulated or high-availability environment
Proven experience with MLOps / LLMOps practices: CI/CD for models/prompts, model/version management, evaluation, drift monitoring, observability, incident response, and rollback strategies highly preferred
Experience implementing monitoring, logging, and alerting for AI systems (quality, latency, cost, safety signals), and driving reliability improvements over time highly preferred
Previous experience in process/workflow analysis and implementing AI solutions that measurably improve operational performance highly preferred
Proficiency in AI technologies, machine learning, data analytics, and project management tools highly preferred
Strong technical acumen to translate needs into engineering requirements, including APIs, integration patterns, infrastructure dependencies, and operational runbooks highly preferred
Strong background building and deploying ML systems using supervised and unsupervised approaches OR LLM-based approaches, including evaluation and safety considerations highly preferred
Strong background in industry use cases built on deep learning and machine learning (unsupervised and supervised techniques) is a must
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 are a must
Experience with time series analysis, anomaly detection, forecasting, predictive modeling, NLP/text analytics, or related applied methods preferred
Experience developing and integrating APIs for healthcare systems to ensure seamless interaction with AI models preferred
Experience with agentic AI patterns (tool use, orchestration, human-in-the-loop controls, policy enforcement) and maintaining those systems over time preferred
Experience with computer vision in healthcare contexts (classification, segmentation, CNNs) and advanced generative methods (GANs) — as needed by use cases preferred
Company
St. Jude Children's Research Hospital
St.
5001-10000 employees
H1B Sponsorship
St. Jude Children's Research Hospital has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
89%
Represents job field similar to this job
Engineering and Development
Customer Service and Support
Management and Executive
Education and Training
Human Resources
Legal and Compliance
Public Sector and Government
Product Management
Creatives and Design
Trends of Total Sponsorships
*2026 (175)
2025 (364)
2024 (316)
2023 (309)
2022 (255)
2021 (251)
2020 (201)
Funding
Current Stage
Late StageTotal Funding
$62.4MKey Investors
Kia MotorsKBR Charity Golf TournamentHyundai Hope On Wheels
2025-05-12Grant· $1.5M
2024-10-28Grant
2024-08-28Grant· $0.4M
Leadership Team
James Downing
President and Chief Executive Officer
Judy A. Habib
Chair, Board of Directors
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