Senior Lead Business Intelligence Analyst

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Position Summary

We are seeking an AI Solutions Engineer to support our digital transformation initiatives with a focus on AI operations, cloud development, and AI solution support.

In this role, you will assist in the implementation, maintenance, and day‑to‑day operations of internal AI capabilities.

Working within a Scaled Agile Framework (SAFe), you will collaborate with cross‑functional teams to ensure solutions are reliable, secure, and running effectively for internal engineers and business users.

Key Responsibilities

• Partner with diverse teams across the organization to ensure the seamless integration and successful delivery of solutions, adhering to SAFe's collaborative ethos.
• Articulate complex technical concepts clearly and concisely to both technical and non-technical audiences, fostering seamless collaboration across SAFe teams.
• Enhance 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 and support integration strategies with existing enterprise systems
• Collaborate with AI engineers and business stakeholders
• Ensure AI solution scalability, security, and compliance
• Enable efficient deployment of AI solutions by internal AI engineers
• Ensure solutions meet the needs of business users across the enterprise through proactive issue identification and collaboration

Qualifications and Experience

Required

• 2–4 years of experience in IT, cloud operations, software development, or similar technical roles.

• At least two years experience with AWS/Azure services.

• Basic to intermediate knowledge of container technologies (Docker, Kubernetes).

• Familiarity with DevOps tools (CI/CD pipelines, Git, Jenkins, automation tools).

• Understanding of AI/ML applications and their components.

• Strong, demonstrated analytical and troubleshooting skills.

• Clear written and verbal communication skills.

Preferred

• Experience with Infrastructure as Code tools (Terraform, Ansible, AWS SAM, etc.).

• Exposure to AIOps concepts and monitoring tools (Grafana, Datadog, etc)

• Experience with Databricks or similar Data Science platforms

• Experience working in Agile or SAFe environments.

• Exposure to XR technologies (Unity/Unreal/AR/VR) 

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.  

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