AI Solutions Engineer (PUERTO RICO)

RTXAguadilla, PR
1dHybrid

About The Position

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. This is a hybrid position in Puerto Rico

Requirements

  • Typically requires a University Degree and minimum 2 years of prior relevant experience or an Advanced Degree/
  • Must be a U.S. Citizen.
  • 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.

Nice To Haves

  • 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).

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.

Benefits

  • Medical, dental, and vision insurance
  • Three weeks of vacation for newly hired employees
  • Generous 401(k) plan that includes employer matching funds
  • Participation in the Employee Scholar Program (ESP)
  • Life insurance and disability coverage
  • Employee Assistance Plan, including up to 8 free counseling sessions
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