**Description** **Introduction** Do you want to join an organization that invests in you as an Engineering Manager of AI Platforms? 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 (https://careers.hcahealthcare.com/pages/employee-benefits-and-rewards) **_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 Platforms like you to be a part of our team. **Job Summary and Qualifications** HCA is seeking a hands-on Manager AI Platforms. The Engineering Manager of AI Platforms is an Engineering Manager who leads the AI Platform and Operations team to build a new platform to re-imagine AI delivery and scalability across the organization. As a player-coach, the Engineering Manager of AI Platforms actively contributes to platform development while leading a team of platform engineers and collaborating with embedded engineers. The Engineering Manager of AI Platforms writes code, reviews pull requests, and dives deep into technical challenges while building and growing a high-performing engineering team. The Engineering Manager of AI Platforms partners with product management to drive platform development through both technical contribution and leadership. This is an opportunity to have a transformative impact on the organization's AI capabilities by combining hands-on development with team leadership to build both a world-class platform and AI Engineering team. **Major Responsibilities -** **Team Leadership & Development:** + Build and lead a high-performing team of platform engineers, including hiring, coaching, and career development + Foster a culture of technical excellence, innovation, and continuous learning + Partner with product and project management on sprint planning while managing team capacity and resource allocation + Partner with embedded engineers to ensure effective collaboration and feedback loops with product pods + Drive team alignment around platform vision and objectives + Provide regular feedback and career guidance to team members + Create opportunities for technical growth and skill development + Actively contribute to platform development through hands-on coding and technical implementation + Lead by example through direct contribution to critical platform components and infrastructure + Partner with product management to execute and deliver on the platform roadmap + Work with Lead Platform Engineer to establish and implement technical standards and architectural patterns + Drive platform adoption through technical excellence and proven solutions + Participate in code reviews and technical discussions to maintain high engineering standards + Guide and contribute to development of foundational MLOps capabilities including training pipelines, deployment automation, and monitoring systems + Balance hands-on development with technical leadership and team management responsibilities **Cross-functional Leadership & Implementation:** + Work closely with product pod leaders to understand technical requirements and implementation needs + Collaborate with other engineering leaders to implement and maintain technical standards + Partner with product management to track and deliver on platform metrics + Lead technical discussions and architecture reviews + Align teams around technical decisions and implementation approaches + Drive adoption of engineering best practices across teams **Required Qualifications -** + Proven ability to lead technical teams delivering substantial features + Current hands-on coding abilities with recent experience contributing to production systems + Strong technical background in platform engineering, MLOps, or similar domains with demonstrated coding expertise + Experience leading teams while maintaining significant technical contributions + Deep Python development expertise with focus on building scalable systems + Track record of successful hiring, coaching, and growing engineering teams + Strong understanding of ML systems, workflows, and operational requirements through direct implementation + Experience with modern Python development practices including type checking, linting, testing frameworks, and package management + History of successful partnership with product management and stakeholders while remaining technically hands-on **Preferred Qualifications -** **Leadership & Management:** + Experience building and leading platform or infrastructure teams + Track record of growing engineers into technical leadership roles + Experience managing distributed or embedded engineering teams + Strong background in agile development and team processes **Technical Knowledge:** + Experience with GCP and managed ML services + Understanding of modern MLOps practices and tools + Familiarity with ML frameworks and development workflows + Knowledge of containerization and orchestration platforms + Experience with infrastructure-as-code and automation **ML Platform & Architecture:** + Understanding of ML lifecycle management and MLOps best practices + Familiarity with feature stores, model serving platforms, and ML metadata systems + Knowledge of distributed training and large-scale ML deployments + Experience with LLM systems and infrastructure + Understanding of ML monitoring and observability requirements **Impact & Scope:** + Build and lead a team that will transform AI delivery across the organization + Shape the technical foundation of our AI platform + Drive technical excellence and implementation best practices across the engineering organization + Create lasting impact through team development and technical excellence + Establish patterns and practices that enable rapid AI innovation + Build reliable platform capabilities that demonstrate clear value to engineering teams + Create a culture of innovation and continuous improvement within the platform team **What qualification you will need -** + Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field is preferred, but not mandatory for candidates demonstrating significant experience and a proven track record in the field of AI/ML and platform development + Master's or higher degree is a plus + 6-7 years of relevant engineering experience with at least 1 year of experience leading others - Required + 2-3 years of experience with ML and/or AI - Required + Excellent communication, leadership, and project management skills. **Work Location/Schedule -** + Remote – U.S. "Good people beget good people."- Dr. Thomas Frist, Sr. HCA Healthcare Co-Founder We are a family 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Manager AI Platforms opening. Qualified candidates will be contacted for interviews. **Submit your resume today to join our community of caring!** We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.