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RTX · 3 days ago

AI Automations Cloud Deployment Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

$124K/yr - $250K/yr

10+ years exp

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. As an AI Cloud Engineer, you will lead the design, deployment, and optimization of scalable AI and machine learning solutions on cloud platforms, collaborating with cross-functional teams to drive innovation and support RTX's mission.

AerospaceManufacturingSecuritySensorTelecommunications

No H1B

U.S. Citizen Only

Responsibilities

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

Qualification

Cloud engineeringAI/ML solution developmentMLOps principlesAWS certificationAzure certificationContainerization (Docker)Orchestration (Kubernetes)Programming PythonProgramming JavaProgramming C++Generative AI technologiesInfrastructure-as-code toolsSAFe devops certificationCommunicationProblem-solvingCollaboration

Required

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++

Preferred

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

Benefits

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

Company

RTX

Glassdoor3.8

RTX is comprised of three market-leading businesses – Collins Aerospace, Pratt & Whitney and Raytheon – working as one to answer the biggest questions and solve the hardest problems in aerospace and defense.

Founded in 1922

Arlington, Virginia, USA

10001+ employees