Lead AI Engineer

Location

Remote-United States

Category

Information Technology

Department

Information Services

Shift

Weekday Day

Position Type

Full Time

Scheduled Weekly Hours

40

Req #

JR5385

Job Description

Overview

St. Jude is where those with a passion for making a difference come to break new ground. Located in Memphis, Tennessee, the mission of St. Jude Children's Research Hospital is to advance cures, and means of prevention, for pediatric catastrophic diseases through research and treatment. We are leading the way the world understands, treats and defeats childhood cancer and other life-threatening diseases.

We are looking for a Lead AI Engineer to join our Analytics Services team in supporting this incredible work.

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. As part of our dynamic team, your expertise in AI and other cognitive computing methodologies, such as but not limited to machine learning (ML), large language models (LLMs), small language models (SLMs), natural language processing (NLP), Generative AI, and Agentic AI, will help revolutionize pediatric healthcare.

This is your opportunity to designing, building, deploying, and operating 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, and troubleshooting issues to ensure system accuracy and reliability. A core objective of this role is to implement AI solutions that are reliable, explainable, auditable, and safe to operate in real‑world clinical and operational environments, with clear performance metrics, monitoring, and human‑in‑the‑loop controls.

These solutions should enable resource optimization and enhance decision-making, ultimately to support driving fulfillment of the St. Jude mission. As a leader, you will collaborate with analytics, data scientists, IT, informatics, and business stakeholders to ensure AI systems are scalable, secure, and seamlessly integrated into existing workflows.

This position may be eligible for remote work. However, St. Jude requires all remote employees to:

* Travel to our Memphis campus for the interview process and orientation (if selected).

* Travel to Memphis to be on-site once per quarter, and additionally as needed.

By applying, you acknowledge and agree to these travel requirements as a condition of employment.

Responsibilites:

Production AI Engineering & Architecture

* 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.

Deployment, Operations, and Lifecycle Ownership

* 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.

Responsible AI, Governance, and Reliability

* 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…