Senior Artificial Intelligence Engineer
St. Jude Children's Research Hospital21 days ago
Memphis, TN, USASenior
Base Salary
$86k - $155k/yr
Responsibilities
- Assess institutional needs and implement AI-enabled services on high-performance AI computing platforms.
- Design, develop, and implement AI solutions and services, including proofs of concept, pilots, and adoption programs.
- Evaluate, fine-tune, deploy, and benchmark LLMs, agentic AI systems, and multimodal foundation models.
- Build secure AI architecture, environments, safety guardrails, sandboxing, and data-protection practices.
- Optimize GPU/HPC resource allocation, distributed training and inference, model serving, cost, latency, and utilization.
- Develop AI demonstrations, workshop materials, training classes, standards, operating procedures, architecture roadmaps, and reference architectures.
- Evaluate commercial and open-source AI/ML, data mining, and analytics approaches for business problems.
- Communicate technical solutions and architecture clearly to customers, teams, vendors, and cross-functional stakeholders.
Requirements
- Master’s degree in computer science, computer engineering, data science, information technology, or a related field.
- At least 4 years of experience designing and developing large-scale AI/ML systems or building products with AI/ML features.
- Strong experience with deep learning and supervised and unsupervised machine learning techniques.
- Experience with deep learning frameworks, time series analysis, anomaly detection, forecasting, predictive modeling, graph-based neural networks, Bayesian statistics, and text analytics.
- Hands-on experience training, fine-tuning, or adapting LLMs or multimodal foundation models is preferred.
- Experience with distributed or multi-GPU training and inference, HPC workload scheduling, AI inference optimization, and high-throughput serving is preferred.
- Experience designing agentic-system safety guardrails, sandboxing, tool-access controls, prompt-injection defenses, secrets management, audit logging, and failure containment is preferred.
- Experience with AI data security and privacy, reproducible benchmarking and evaluation, AI/ML pipelines, observability, versioning, rollback, cost control, and incident response is preferred.
- Technical leadership, standards-setting, mentoring, cross-team collaboration, and clear written and spoken communication are required.
- A PhD, biomedical or imaging experience, regulated health-data experience, and contributions to open-source AI/ML infrastructure or public technical work are preferred.
Benefits
- Onsite work arrangement in Memphis, Tennessee.
- St. Jude describes exceptional benefits.
- The employer is an equal opportunity employer.
Tech Stack
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