Founded in 2014, League is the leading healthcare consumer experience (CX) platform, powered by artificial intelligence (AI), reaching more than 63 million people around the world and delivering the highest level of personalization in the industry. Payers, providers, and consumer health partners build on League’s platform to deliver high-engagement healthcare solutions proven to improve health outcomes. League has raised over $285 million in venture capital funding to date, powering the digital experiences for some of healthcare’s most trusted brands, including Highmark Health, Manulife, Medibank, and Shoppers Drug Mart.
The role
We're looking for an exceptional Principal AI Engineer to join our Software Platform Engineering team. This role is a unique opportunity to shape the future of digital health by designing, building, and scaling the core platform that enables our AI-driven products. You will act as a technical leader, architecting the foundational systems and tools that empower data scientists and engineers to efficiently build, deploy, and manage machine learning models at scale.
You will have a direct impact on our mission to help users lead healthier, happier lives by ensuring our AI platform is robust, secure, and performant. Your work will not only involve hands-on system development but also mentoring others and setting the technical vision for how we operationalize AI across League
What you will do:
- Architect and Develop AI Infrastructure: Design, build, and maintain a highly scalable and reliable platform for AI/ML workloads, including model training, serving, and monitoring
- Lead MLOps Strategy: Champion and implement best practices for Machine Learning Operations (MLOps) to automate and streamline the entire model lifecycle, from experimentation to production deployment and maintenance
- Collaborate and Mentor: Work closely with data scientists, data engineers, and product teams to translate business needs into technical requirements and guide the implementation of AI solutions. You will be a key mentor, providing technical guidance and raising the engineering bar for the entire team
- Ensure Platform Excellence: Establish standards and best practices for performance, security, data governance, and reliability within the AI platform
- Evaluate and Innovate: Continuously evaluate new technologies, tools, and frameworks to improve the efficiency, speed, and capabilities of our AI platform
What you bring:
- Deep Technical Expertise: Extensive hands-on experience in software engineering and a strong understanding of the entire machine learning lifecycle
- Platform-Level Thinking: Proven ability to design and build scalable, distributed systems, ideally for machine learning or data-intensive applications
- MLOps Mastery: Demonstrated experience with MLOps tools and practices, including CI/CD for machine learning, model versioning, and feature stores
- Cloud Proficiency: Expertise with public cloud platforms (e.g., AWS, GCP, Azure) and a solid understanding of containerization and orchestration technologies like Docker and Kubernetes
- Data Fluency: A strong grasp of data engineering concepts, including data pipelines, data warehousing, and distributed data processing frameworks
- Exceptional Leadership: The ability to lead technical conversations, influence decisions, and effectively mentor junior and senior engineers
Required Tech Stack:
- Cloud Platforms: Extensive experience with AWS and/or GCP, including core compute, storage, and networking services
- Programming Languages: Expert-level proficiency in Python and familiarity with Go for backend services
- Data & AI Frameworks: Experience with big data processing platforms like Apache Spark, Apache Beam, Hadoop, etc
- Familiarity with modern machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn
- MLOps & Orchestration: Deep understanding of MLOps principles and experience with tools like Kubeflow, MLflow, or AWS SageMaker
- Experience with workflow orchestration tools like Airflow or a similar platform
- DevOps & Infrastructure:Expertise in containerization and orchestration using Docker and Kubernetes
- Hands-on experience with Infrastructure as Code (IaC) tools like Terraform
- Data Systems: Experience with both relational and NoSQL databases, and familiarity with data warehousing and streaming technologies
Security-related Responsibilities
- Ensure access management is performed in compliance with the employee's role and responsibilities
- Responsibility and accountability for executing League's policies and procedures within the department/ team
- Notification of HR, Legal, Compliance & Security of any incidents, breaches or policy violations
- Compliance with Information Security Policies
US APPLICANTS ONLY: The US-specific compensation range below for this full-time position is exclusive of bonus, equity and benefits. This range reflects the minimum and maximum target for base salaries for the position across all US locations. The salary range is intentional to account for the performance and career progressions a Leaguer will experience in the role throughout their time at League. Where in the band you may land is determined by job-related skills/experience. Your recruiter can share more about the specific salary range specific to your skills and experience during the hiring process.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at [email protected].
- You should receive a confirmation email after submitting your application.
- A recruiter (not a computer) reviews all applications at League.
- If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring.
- The final step is an offer, which we hope you will accept!
- Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are exploring.
- Learn about our platform, leadership team and partners
- Highmark Health, Google Cloud, League: new digital front door to seamless care
- Former Providence President and Workday EVP of Corporate Strategy join League Board of Directors
- League raises $95 million USD in Series C to build world’s leading healthcare CX platform
- Forbes x League: The Platformization Of Healthcare Is Here
- Fast Company x League: If we want better innovations in healthtech, we need more competition
Recognize and Avoid Employment scams. Practice safe job searching.
Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here.We are committed to ensuring fairness and transparency throughout our hiring process. League may use Artificial Intelligence (AI) tools to assist in the screening of applicants for this position. Please check out our stance on using AI in recruitment here.
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