Senior Lead Business Intelligence Analyst

RTX RTX · Aerospace · bengaluru, Karnātaka, India · Digital Technology

Seeking an AI Solutions Engineer to support digital transformation initiatives with a focus on AI operations, cloud development, and AI solution support. The role involves assisting in the implementation, maintenance, and day-to-day operations of internal AI capabilities within a Scaled Agile Framework (SAFe). Responsibilities include collaborating with cross-functional teams, enhancing DevOps and AIOps strategies, managing technical risks, developing integration strategies, and ensuring AI solution scalability, security, and compliance for internal engineers and business users.

What you'd actually do

  1. Partner with diverse teams across the organization to ensure the seamless integration and successful delivery of solutions, adhering to SAFe's collaborative ethos.
  2. Articulate complex technical concepts clearly and concisely to both technical and non-technical audiences, fostering seamless collaboration across SAFe teams.
  3. Enhance DevOps methodologies and AIOps strategies, championing containerization and Infrastructure as Code (IaC) best practices.
  4. Proactively identify and mitigate technical risks associated with projects and initiatives, considering the broader implications within the SAFe context.
  5. Develop and support integration strategies with existing enterprise systems

Skills

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.

Nice to have

  • 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)

What the JD emphasized

  • AI operations
  • cloud development
  • AI solution support
  • internal AI capabilities
  • DevOps
  • AIOps
  • containerization
  • Infrastructure as Code
  • AI engineers
  • enterprise systems
  • AI solution scalability
  • security
  • compliance
  • deployment of AI solutions

Other signals

  • AI operations
  • cloud development
  • AI solution support
  • internal AI capabilities
  • DevOps
  • AIOps
  • containerization
  • Infrastructure as Code
  • AI engineers
  • enterprise systems
  • AI solution scalability
  • security
  • compliance
  • deployment of AI solutions