Lead Platform Engineer

** Date Posted:
**** Country:
** United States of America
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* Location:

** US-CT-REMOTE
** Position Role Type:
** Remote
* * 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

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity.

The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.
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* Position Overview:

** This role is a senior technical leadership position responsible for integrating and delivering production-grade AI, machine learning, and data capabilities  position combines hands-on software engineering with system-level design, leading end-to-end development of scalable, cloud-based solutions that leverage LLMs, MLOps, and automation. Working closely with cross-functional stakeholders, the role balances near-term delivery with long-term platform strategy while mentoring engineers and promoting strong engineering best practices.

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* 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, Gen Ops, 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…