Lead Platform Engineer, AI/ML & Cloud Automation

Relha LLC; Northern (KY); Hybrid; USD 157,000 - 299,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life insurance

Disability–short-term

Disability–long-term

401(k) match

Flexible spending accounts

Flexible work schedules

Employee assistance program

Employee Scholar Program

Parental leave

Job summary

RTX is seeking a senior data science and AI leadership role to drive end-to-end data capabilities across production software and cloud engineering. You will collaborate with leadership and stakeholders to implement generative AI, MLOps, and ML-augmented engineering.

You will mentor teams, design scalable data solutions, and ensure end-to-end excellence in software delivery and documentation. A strong background in Python, SDLC, and cloud platforms is essential.

Qualifications

• Typically requires a University Degree or equivalent experience with 12 years prior relevant experience, or an Advanced Degree in a related field with 10 years experience.
• 5+ years of experience with data science and machine learning.
• 5+ years of experience with the Software Development Life Cycle and software application / product development, including Python and the Python scientific stack.

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. This includes ensuring that capabilities are designed, implemented, maintained, observed, and supported from end-to-end.
• Maintain both high level and low level views of technical systems, and coordinate with teams and subject matter experts from other disciplines to realize successful realization.
• 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

Software SDLC

Cloud platforms (AWS/Azure)

REST APIs

SQL

LLMs / LLM APIs

Education

University Degree or equivalent experience

Advanced Degree in related field

Tools

AWS

Azure

Python

REST APIs

LLMs

CI/CD tools

Docker

Job description

RTX is seeking a senior data science and AI leadership role to drive end-to-end data capabilities across production software and cloud engineering. You will collaborate with leadership and stakeholders to implement generative AI, MLOps, and ML-augmented engineering.

You will mentor teams, design scalable data solutions, and ensure end-to-end excellence in software delivery and documentation. A strong background in Python, SDLC, and cloud platforms is essential.