RTX is looking to spearhead digital transformation initiatives in AI Ops and solution design to enhance operational efficiency and bolster infrastructure reliability.
Requirements
- 8+ years of progressive experience in software development and IT.
- 3-5+ years of hands-on development expertise.
- Demonstrated ability to gather and analyze requirements, architecting comprehensive solutions across multiple domains (enterprise, application, data, integration, infrastructure, security).
- Strong analytical skills and proactive problem-solving abilities, with a deep understanding of AI/ML technologies, cloud architecture, and enterprise software.
- In-depth knowledge of web services, microservices architectures, and SOA.
- Mastery of advanced software design paradigms and programming languages.
- Mastery of cloud-native architectures and deep expertise in major cloud platforms (AWS, Azure, GCP).
Responsibilities
- Develop a scalable architecture for an AI platform with model and agent services.
- DevOps methodologies, and AIOps strategies, championing containerization and Infrastructure as Code (IaC) best practices.
- Proactively identify and mitigate technical risks associated with projects and initiatives, considering the broader implications within the SAFe context.
- Develop integration strategies with existing enterprise systems.
- Collaborate with AI engineers and business stakeholders.
- Ensure platform scalability, security, and compliance.
- Enable efficient deployment of AI solutions by internal AI engineers.
Other
- This job requires a U.S. Person.
- Must be authorized to work in the U.S. without sponsorship now or in the future. RTX will not offer sponsorship for this position (U.S. Citizen or Green Card Holder).
- Typically requires a University Degree and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience.
- 2-3+ years in leadership or senior engineering roles demonstrating the ability to technically lead and inspire teams.
- Partner with teams across the organization to ensure the seamless integration and successful delivery of solutions, adhering to SAFe's collaborative ethos.
