Senior AI Engineer - HPC, Multimodal AI & Secure Infra

St. Jude Children's Research Hospital; Lauderdale Courts (TN); On-site; USD 86,000 - 155,000; Full time

Job summary

St. Jude Children's Research Hospital is seeking a Senior AI Engineer to lead development of advanced AI models, including LLMs and multi‑modal systems, and to architect secure, high‑performance AI infrastructure.

You will evaluate, fine‑tune, deploy, and benchmark models, implement guardrails, and optimize GPU/HPC resources in a hands‑on role. You will work closely with researchers and software engineers, reporting to the HPRC Director and collaborating with CBI in Memphis, TN.

Qualifications

• 4+ years designing and developing large-scale AI/ML systems.
• Strong background in deep learning with unsupervised and supervised techniques.
• Proficiency in TensorFlow, PyTorch, and related frameworks.

Responsibilities

• Assists IS in assessing needs and implementing AI-enabled services on high‑performance computing platforms.
• Design, develop, and implement AI solutions and services including proofs‑of‑concept and pilots.
• Build innovative data science and AI/ML solutions to solve non‑trivial problems.
• Develop AI demos and provide workshops and training.
• Evaluate commercial and open‑source approaches in AI/ML and analytics.
• Document architectures, roadmaps, and reference designs.
• Communicate clearly with customers, teams, and vendors.
• Stay current with new technologies and assess their applicability.
• Perform other duties to meet departmental goals.

Skills

AI/ML systems design

Deep learning frameworks

LLMs & multi-modal models

Distributed multi-GPU training

HPC/Slurm scheduling

Technical leadership

Open-source contributions

Education

Master's degree in CS/EE/Data Science

PhD preferred

Tools

TensorFlow

PyTorch

Keras

Time series analysis

Hugging Face

vLLM / TensorRT-LLM

Job description

St. Jude Children's Research Hospital is seeking a Senior AI Engineer to lead development of advanced AI models, including LLMs and multi‑modal systems, and to architect secure, high‑performance AI infrastructure.

You will evaluate, fine‑tune, deploy, and benchmark models, implement guardrails, and optimize GPU/HPC resources in a hands‑on role. You will work closely with researchers and software engineers, reporting to the HPRC Director and collaborating with CBI in Memphis, TN.