Platform Engineer - AI/ML & Cloud (Remote)

RTX; East Windsor Hill (CT); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Healthcare

Wellness

Retirement

Flexible work schedules

Educational assistance

Paid time off

Holidays

Parental leave

Job summary

RTX is seeking a Platform Engineer to advance our data and AI capabilities by designing and delivering scalable, production-ready software and cloud solutions.

Working collaboratively with technical leaders, product and program managers, and cross-functional teams, you will drive the implementation of AI/ML technologies, automation, and modern engineering practices while ensuring end-to-end system reliability, maintainability, and performance.

Qualifications

• Typically requires a University Degree or equivalent experience and minimum 8 years prior relevant experience, or an Advanced Degree in a related field and minimum 5 years experience.
• ~3+ years of experience with data science and machine learning.
• ~3+ years of experience with the Software Development Life Cycle and software application / product development, including Python and the Python scientific stack.
• A flexible and patient mindset, interested in working on a variety of multi-disciplinary challenges with varying stakeholders, partners, domains, and toolsets.
• Relevant experience with cloud computing platforms (AWS and/or Azure).
• Organizational skills for knowledge, documentation, and data management.
• SQL, Node, REST APIs, testing libraries.
• Experience building products that use Large Language Models (LLMs) and LLM APIs.
• Technical leadership experience, such as being the engineering lead for a program, product, or large project.
• Experience with cloud computing.

Responsibilities

• Collaborate with technical leadership, product managers, program/project managers, and business stakeholders to support the team as we bring advanced data capabilities to RTX.
• Be the system integrator for APIs, SDKs, and other automation activities: lead multi-disciplinary efforts to bring advanced AI/ML capabilities to RTX through production software and cloud engineering, including generative AI, AIOps, GenOps, MLOps, and ML-augmented engineering. Design, write, test, and deploy production quality software capabilities that are maintainable, automated (CI/CD), scalable, observable, organized, and readable. Ensure best practices are maintained, including quality and CI/CD automation.
• Advise technical support and building of user documentation.
• Mentor early and mid career team members, supporting their ascension to senior and lead roles.

Skills

Data science

Machine learning

Python

CI/CD

REST APIs

SQL

Cloud AWS/Azure

LLMs

Leadership

Education

University Degree or equivalent

Advanced Degree in related field

Job description

RTX is seeking a Platform Engineer to advance our data and AI capabilities by designing and delivering scalable, production-ready software and cloud solutions.

Working collaboratively with technical leaders, product and program managers, and cross-functional teams, you will drive the implementation of AI/ML technologies, automation, and modern engineering practices while ensuring end-to-end system reliability, maintainability, and performance.