Job Description
Introduction
Do you want to join an organization that invests in you as a Manager AI Platform Engineering? At Work from Home, you come first. HCA Healthcare has committed up to $300 million in programs to support our incredible team members over the course of three years.
Benefits
Work from Home, offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:
- Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation.
- Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more.
- Free counseling services and resources for emotional, physical and financial wellbeing.
- 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service).
- Employee Stock Purchase Plan with 10% off HCA Healthcare stock.
- Family support through fertility and family building benefits with Progyny and adoption assistance.
- Referral services for child, elder and pet care, home and auto repair, event planning and more.
- Consumer discounts through Abenity and Consumer Discounts.
- Retirement readiness, rollover assistance services and preferred banking partnerships.
- Education assistance (tuition, student loan, certification support, dependent scholarships).
- Colleague recognition program.
- Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence).
- Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income.
Learn more about Employee Benefits
Note: Eligibility for benefits may vary by location.
Significance
You contribute to our success. Every role has an impact on our patients’ lives and you have the opportunity to make a difference. We are looking for a dedicated Manager AI Platform Engineering to be a part of our team.
Job Summary and Qualifications
Overview
The Manager, AI Platform Engineering leads the development and implementation of the AI Platform, actively contributing to technical development while building and leading a high-performing team of AI Platform Engineers. The goal is to transform machine learning (ML) delivery, standardization, and adoption across the organization.
This is a player/coach role involving:
- Hands-on implementation and scaling of model CI/CD and Continuous Training pipelines.
- Understanding of ML Development Lifecycle management.
- MLOps best practices as they relate to the delivery of an AI Platform.
- Managing a team of product engineers.
Major Responsibilities
- Build and lead a team of AI Platform Engineers, including hiring, coaching, and career development.
- Actively contribute through hands-on coding and technical implementation.
- Define technical standards and architectural patterns for the AI platform.
- Drive platform adoption and engineering best practices.
- Collaborate with engineering leaders to maintain standards.
- Conduct code reviews and lead architecture discussions.
- Develop foundational ML/AI capabilities including training pipelines, automation, and monitoring.
- Address barriers to platform adoption.
- Balance hands-on development with leadership and management.
- Gather feedback to inform platform roadmap.
- Foster technical growth among team members.
Qualifications
- Bachelors degree (Required)
- Masters degree (Preferred)
- 1+ years in a leadership role (Required)
- 7+ years in software engineering focusing on AI Platform/AI Engineering (Preferred)
- Current hands-on coding experience with ML/AI systems (Required)
- Strong technical programming background, especially in Python (Required)
- Expertise in ML workflows, CI/CD, containerization, cloud solutions, MLOps (Required)
- Experience managing engineering teams (Required)
Additional Preferences
- Experience with LLMs, feature stores, distributed training, ML orchestration tools like Kubeflow, Argo, MLFlow.
- Deep understanding of ML tooling, patterns, and platforms.
- Experience with Terraform, GCP, Vertex AI.
Work Location/Schedule
- Remote – U.S. Only
Visa Sponsorship
- Not Offered
"Good people beget good people." - Dr. Thomas Frist, Sr., Co-Founder of HCA Healthcare
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We are a family of 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications. Qualified candidates will be contacted for interviews. Submit your resume today to join our community of caring!
Equal Opportunity Employer: We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.