Lead Platform Engineer

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

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense.

What You Will Do

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.

What You Will Learn

How you work best, how to reach your potential, and how you can overcome, persevere, and sustain.

Multi-disciplinary technical leadership

How to balance short term tactical needs with long term strategic goals.

Qualifications You Must Have

Typically requires a University Degree or equivalent experience and minimum 12 years prior relevant experience, or an Advanced Degree in a related field and minimum 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.

Qualifications We Prefer

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

Other helpful experience: 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 as part of a multi-disciplinary team

Experience with cloud computing.

What We Offer

• compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs
• parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care

Work Location: Remote

Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 157,200 USD - 298,800 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

• 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

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. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.