Senior AI Delivery Engineer: AI SDLC & Cloud Pipelines

Insight Global; Miami (FL); On-site; USD 150,000 - 190,000; Full time

Job summary

Insight Global is seeking a Senior AI Engineer in Miami to drive AI-assisted software delivery across an enterprise environment. You will partner with Product, Architecture, QE, and SRE teams to accelerate development, testing, and deployment of the Tour Operations Portal and future projects.

Key focus areas include defining AI guardrails, reviewing AI-generated code and infrastructure, and shaping standards for AI-assisted software engineering across the organization.

Qualifications

• 10+ years software engineering across design, development, deployment and support.
• 5+ years Terraform and Infrastructure as Code experience.
• 3+ years Docker and Kubernetes experience.
• Experience with AI tooling and agentic workflows for production delivery.

Responsibilities

• Partner with business and technical teams to translate requirements into implementation plans.
• Leverage AI coding agents to accelerate development, testing, and delivery.
• Review AI-generated code, infrastructure, and deployment assets for quality, security, scalability, and maintainability.
• Define guardrails, validation criteria, and best practices for AI-assisted delivery.
• Guide AI-generated Terraform, CI/CD, and cloud infrastructure solutions.
• Drive delivery for Tour Operations Portal and future enterprise projects.
• Identify technical debt, architectural risks, and gaps.
• Collaborate with Product, Architecture, QE, SRE, and business stakeholders.

Skills

C#/.NET

Backend development

Frontend: React

Terraform

CI/CD pipelines

Observability

Databases

Docker

Kubernetes

AI tooling

Azure

AWS

Cloud-native

Education

Bachelor's degree in Computer Science

Tools

Azure DevOps

GitHub Actions

Terraform

Job description

Insight Global is seeking a Senior AI Engineer in Miami to drive AI-assisted software delivery across an enterprise environment. You will partner with Product, Architecture, QE, and SRE teams to accelerate development, testing, and deployment of the Tour Operations Portal and future projects.

Key focus areas include defining AI guardrails, reviewing AI-generated code and infrastructure, and shaping standards for AI-assisted software engineering across the organization.