Manager AI Platform Engineering

HCA Healthcare; United States; Remote; USD 95,000 - 159,000; Full time

Job summary

HCA Healthcare is searching for a dedicated Manager AI Platform Engineering to lead the development of their AI platform. This role involves hands-on coding alongside managing a high-performing team, fostering technical excellence, and championing ML workflows and platform adoption. With a commitment to employee wellbeing, HCA offers comprehensive benefits while you make an impact in a crucial engineering role focused on AI integration.

Benefits

Comprehensive medical coverage

401(k) Plan with a 100% match

Employee Stock Purchase Plan

Education assistance

Time Away From Work Program

Colleague recognition program

Qualifications

• 1+ year(s) of experience in a leadership role required.
• 7+ years of software engineering experience preferred.
• Experience with ML platforms and systems required.

Responsibilities

• Lead development and implementation of the AI Platform.
• Build and lead high-performing teams.
• Drive platform adoption and best practices.

Skills

Python

Machine Learning workflows

Technical leadership

Platform Engineering

Agile development

Containerization

CI/CD

Education

Bachelor's degree

Master's degree

Tools

Kubeflow

Terraform

GCP

Job description

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.

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.

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 like you to be a part of our team.

Job Summary and Qualifications

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 to transform ML delivery, standardization, and adoption across the organization through development and delivery of a high leverage AI Platform.

Major Responsibilities:

• Build and lead high-performing team of AI Platform Engineers, including hiring, coaching, and providing career development while fostering a culture of technical excellence and knowledge sharing.
• Actively contribute to AI Platform development through hands-on coding and technical implementation, leading by example through direct contribution to critical platform components and infrastructure when possible while ensuring pod priorities and technical challenges are addressed.
• Collaborate with AI Platform leadership to define technical standards and architectural patterns for AI platform, and engineering best practices.
• Drive platform adoption and engineering best practices and standardization by partnering with tech leads and ML Engineering Leaders.
• Collaborate with other engineering leaders to implement and maintain technical standards while aligning teams around technical decisions.
• Conduct code reviews and participate in technical discussions to maintain high engineering standards and quality of platform usage and MLOps best practices across pods.
• Lead technical discussions and architecture reviews to promote platform aligned solutions
• Define and drive education and sharing sessions with embedded engineers and pod tech leads to drive adoption of platform and engineering standards.
• Guide and contribute to development of foundational ML/AI capabilities including training pipelines, automation, and monitoring systems.
• Champion ML platform capabilities partnering with Product and Tech Leads to identify and address barriers to platform adoption, ensuring consistent implementation of platform patterns.
• Balance hands-on development with technical leadership and team management responsibilities to insure successful and consistent platform usage.
• Collect and synthesize feedback from engineers and pod tech leads to inform platform priorities and roadmap based on pod needs.
• Create opportunities for technical growth and skills development for team members.
• Lead technical discussion and architecture review to promote platform-aligned solutions.

What qualifications you will need:

• Bachelor's degree - Required
• Master's degree - Preferred
• 1+ year(s) of experience in a leadership role - Required
• 7+ years of experience in software engineering with a focus on AI Platform Engineering and AI Engineering or platform engineering - Preferred
• Or equivalent combination of education and/or experience

Additional Requirements/Preferences:

• Current hands-on coding abilities with recent experience in ML/AI systems or Platforms - Required
• Strong technical background in Platform Engineering with demonstrated coding expertise - Required
• Deep Python development expertise with a focus on ML systems or Platforms - Required
• Strong understanding of Machine Learning workflows and operational requirements through direct implementation - Required
• Hands on experience implementing and scaling model CI/CD and Continuous Training pipelines - Required
• Hands on experience with major public clouds and delivering solutions leveraging their platforms - Required
• Hands on experience with modern Python development practices including typing, linting, test frameworks, and package management - Required
• Deep understanding of containerization and deployment of ML/AI models and systems - Required
• Hands on experience creating developer tools and SDK and driving adoption by end users - Required
• Strong background agile development within product teams - Required
• Understanding of ML Development Lifecycle management and MLOps best practices particularly as it relates delivery of an AI Platform - Required
• Experience managing team of product engineers - Required
• Understanding of ML Monitoring and observability - Required
• Experience with LLMs and Infrastructure - Preferred
• Experience building and deploying feature stores and feature caches - Preferred
• Deep understanding of ML/AI platform tooling and patterns - Preferred
• Experience with Distributed model training - Preferred
• Hands on experience with Kubeflow, Argo, MLFlow or other ML/AI Training orchestrators - Preferred
• Hands on experience and knowledge of ML/AI metadata tools and model registries - Preferred
• Deep hands-on experience with Terraform or other IaC tools - Preferred
• Hands on experience building ML/AI solutions on GCP and Vertex AI – Preferred

Work Location/Schedule:

• Remote – U.S. Only – Sponsorship Not Available

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology, Engineering, and Management

• Industries

  Manufacturing, Entertainment Providers, and Hospitals and Health Care

Referrals increase your chances of interviewing at HCA Healthcare by 2x

Sign in to set job alerts for “Manager of Artificial Intelligence” roles.

United States $250,000.00-$400,000.00 2 weeks ago

United States $95,200.00-$158,800.00 6 days ago

Manager, Ads Demand Analytics & Insights

United States $360,000.00-$920,000.00 1 week ago

Massachusetts, United States $141,700.00-$177,100.00 1 week ago

Manager, Machine Learning Engineering - Mortgage Operations AI

United States $182,100.00-$290,900.00 3 days ago

United States $106,400.00-$228,000.00 1 week ago

United States $165,000.00-$223,000.00 2 days ago

United States $100,000.00-$140,000.00 1 week ago

Virginia, United States $195,300.00-$362,250.00 1 day ago

Chicago, IL $165,000.00-$223,000.00 2 days ago

Engineering Manager - Machine Learning (Defense)

United States $200,000.00-$300,000.00 3 days ago

United States $126,990.00-$206,172.00 1 day ago

United States $173,000.00-$242,000.00 2 weeks ago

Indianapolis, IN $61,021.00-$97,475.00 4 months ago

United States $162,600.00-$180,600.00 1 week ago

Houston, TX $165,000.00-$223,000.00 2 days ago

Rosemont, IL $165,000.00-$223,000.00 2 days ago

Chicago, IL $165,000.00-$223,000.00 2 days ago

Data Science Engineering Manager - (Remote - US)

Sr. Manager, Business Intelligence and Analytics

Rosemont, IL $165,000.00-$223,000.00 2 days ago

Columbus, OH $150,000.00-$175,000.00 3 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.