Cloud & AI Solutions Engineer

Solution Architecture

You’ll create blueprints for how we use cloud services and AI to improve workflows and data insights.

Hands-on Implementation

You won’t just hand over a slide deck. You will build prototypes, configure cloud environments, and develop the "first mile" of our AI and automation solutions.

AI Adoption & Learning

Stay at the forefront of AI/ML and Generative AI. Identify where these tools can realistically improve our business processes and lead the effort to adopt them.

Cloud Operations

Help us optimize our use of Azure, AWS, or GCP. This includes modernizing legacy setups, improving security, and automating repetitive IT tasks.

Strategic Change

Act as a technical mentor and advocate for modern technology. You’ll help teams move away from "the way we’ve always done it" and toward more efficient, cloud-native ways of working.

Core Competencies

• The "Architect" Mindset: Ability to see the big picture and understand how different systems (Identity, Data, Security, and Apps) fit together.
• Cloud Proficiency: Solid experience with at least one major cloud provider (Azure, AWS, or GCP) and a strong understanding of M365 ecosystems.
• AI Curiosity: You don’t need to be a data scientist, but you should understand how to leverage LLMs, APIs, and automation tools to solve problems.
• Practical Builder: Proficiency in modern "building" tools—whether that’s scripting (Python/PowerShell), low-code automation, or Infrastructure as Code (Terraform).
• Adaptability: A strong appetite for learning. You are comfortable moving between a factory-floor data problem and a corporate-office automation project.