United States onlyThis Senior Manager, Platform Engineer serves as a strategic technical leader responsible for defining and executing the enterprise AI/ML platform vision across RTX. This role drives the integration and delivery of production-grade artificial intelligence, machine learning, and advanced data capabilities at scale, enabling mission-critical innovation across the organization.
Requirements
- Typically requires a University Degree and 10+ years of relevant experience, or an Advanced Degree with 7+ years of experience.
- 5+ years of progressive experience in data science, machine learning, or AI engineering, including production deployment.
- 5+ years of technical leadership experience leading engineering teams or large-scale programs.
- Deep expertise in software development lifecycle practices, including CI/CD, DevSecOps, and production-grade Python-based systems.
- Proven experience defining and scaling enterprise AI/ML platforms in AWS and/or Azure environments.
- Experience building and governing systems leveraging Large Language Models (LLMs) and generative AI capabilities.
- Strong understanding of secure cloud architecture, data governance, and compliance in regulated environments.
- Demonstrated ability to influence senior stakeholders and drive cross-organizational alignment.
- Experience leading multidisciplinary teams across engineering, data science, and product domains.
- Familiarity with SQL, RESTful APIs, Node.js, automated testing frameworks, and distributed system design.
Benefits
- Medical
- Dental
- Vision
- Life insurance
- Short-term disability
- Long-term disability
- 401(k) match
- Flexible spending accounts
- Flexible work schedules
- Employee assistance program
- Employee Scholar Program
- Parental leave
- Paid time off
- Holidays
