Sr Manager Platform Engineer

RTX

1d • Remote

About The Position

This 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. Operating at the intersection of engineering execution and business strategy, this leader owns the end-to-end architecture, delivery, and operationalization of scalable, cloud-native AI solutions—including generative AI, LLM platforms, MLOps, and intelligent automation frameworks. The position balances long-term platform strategy with near-term program execution while building and leading high-performing engineering talent. This role partners closely with executive leadership, product and program management, cybersecurity, infrastructure, and domain experts to ensure enterprise AI capabilities are secure, compliant, scalable, and aligned to RTX’s strategic priorities.

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.

Nice To Haves

• 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.

Responsibilities

• Define and execute the enterprise AI/ML platform strategy, delivering scalable, secure, cloud-native solutions aligned to RTX’s mission and business priorities.
• Lead the end-to-end architecture, integration, and production deployment of advanced AI capabilities, including generative AI, LLMs, and MLOps frameworks.
• Serve as the senior technical authority, ensuring engineering excellence, governance, reliability, and compliance across platforms.
• Partner cross-functionally with product, program, cybersecurity, and business leaders to drive enterprise adoption and measurable impact.
• Build, mentor, and lead high-performing engineering talent while establishing best practices for CI/CD, DevSecOps, and operational sustainability.

Benefits

• Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs.
• Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.
• Hired applicants may be eligible for benefits, including but not limited to, 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, and holidays.
• Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager