AI Automations Cloud Deployment Engineer

AI Automations Cloud Deployment Engineer page is loaded## AI Automations Cloud Deployment Engineer locations:
UTCT1:
Corp - CT - Remote Remote Location, Remote City, CT, 06101 USAtime type:
Full time posted on:
Posted Todayjob requisition :

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

** UTCT1:
Corp - CT - Remote Remote Location, Remote City, CT, 06101 USA
** Position Role Type:
** Remote
* * U.S. Citizen, U.S. Person, or Immigration Status Requirements:
** This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here.

https://(Use the "Apply for this Job" box below)..62
** Security Clearance:
** None/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.
** The following position is to join our RTX Enterprise Services team:
** As an AI Cloud Engineer at Raytheon Technologies, you will lead the design, deployment, and optimization of scalable AI and machine learning solutions on cloud platforms. This role involves leveraging best-in-class cloud technologies to build and maintain infrastructure that powers advanced AI models and analytics capabilities. You will collaborate with cross-functional teams to ensure seamless integration of AI solutions into the enterprise ecosystem, driving innovation and supporting RTX’s mission to protect and connect the world.
*
* What You Will Do:

*** Architect, implement, and manage cloud-based solutions to support AI and machine learning workloads across platforms such as Azure, AWS, or GCP.
* Optimize cloud resources for scalability, performance, and cost-efficiency while ensuring robust security and compliance measures.
* Collaborate with data scientists and engineers to deploy machine learning models in production and maintain MLOps pipelines for training, testing, deployment, and monitoring.
* Utilize cloud-native tools and services like Azure Machine Learning, AWS Sage Maker to deliver AI solutions.
* Leverage containerization (Docker) and orchestration (Kubernetes) technologies for efficient deployment and scaling of AI solutions.
* Work closely with cross-functional teams, including Data Engineering, Architecture, and Security, to align cloud strategies with organizational goals.
* Monitor and manage cloud infrastructure to maintain reliability, performance, and security while driving cost optimization initiatives, and adhering to RTX policy updates.
* Explore and implement emerging technologies in AI, cloud computing, and generative AI frameworks, such as LLMs and RAG, to enhance RTX’s AI capabilities.
* Provide technical guidance and engage stakeholders to gather requirements, deliver impactful results, and recommend innovative cloud-based AI solutions.
** Qualifications You Must Have:
*** Bachelor’s degree in Computer Science, Engineering, or a related field and 10+ years of experience in cloud engineering or AI/ML solution development.
* Certification in AWS or Azure and their AI/ML services.
* Strong understanding of MLOps principles and tools.
* Experience with containerization (Docker) and orchestration (Kubernetes).
* Proficiency in programming languages such as Python, Java, or C++.
** Qualifications We Prefer:
*** Master’s degree in a relevant field.
* Experience with generative…