AI Automations Cloud Deployment Engineer

Date Posted:
2025-10-28
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://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62
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 SageMaker 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 & agentic AI technologies and frameworks.
• Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation.
• SAFe devops or similar certification
• Additional soft skills: communication, problem-solving &collaboration.

What We Offer:

Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.

Work Location:

Remote

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 124,000 USD - 250,000 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.

Hired applicants may be eligible for benefits, including but not limited to, 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, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

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.

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