Sr. AI Engineer (AI Platform / SRE)

Insight Global; Miami (FL); On-site; USD 180,000 - 240,000; Full time

Job summary

Insight Global is seeking a Senior AI Engineer to support and expand an internally developed AI platform used for incident triage, code review, observability, and engineering productivity. This role focuses on AI infrastructure, platform engineering, Kubernetes, cloud architecture, and enabling enterprise-wide adoption of agentic AI capabilities.

The team builds and scales a multi-agent platform that supports engineering teams across the organization.

Qualifications

• 10+ years of software engineering experience across design, development, deployment, and support
• 10+ years reviewing code and technical solutions against business and operational requirements
• 5+ years of Terraform and Infrastructure as Code experience
• 5+ years designing and supporting CI/CD pipelines (Azure DevOps, GitHub Actions, etc.)
• 5+ years working with observability platforms including logging, monitoring, tracing, dashboards, alerting, and SLOs
• 5+ years of relational and NoSQL database experience
• 3+ years of Docker and Kubernetes experience
• Experience using AI coding tools and agentic workflows
• Strong software architecture and distributed systems background
• Ability to evaluate, validate, and improve AI-generated code and infrastructure
• Strong cloud-native engineering experience
• Experience supporting platform engineering, DevOps, SRE, or cloud infrastructure environments
• Experience translating business requirements into technical solutions
• Strong testing and validation experience
• Experience building and deploying agentic AI solutions in production

Responsibilities

• Support and expand the internal AI platform and agent ecosystem
• Develop and enhance AI agents used for incident triage, monitoring, observability, and operational automation
• Support Kubernetes-based AI workloads and cloud-native services
• Solve authentication, scalability, governance, and platform engineering challenges
• Build infrastructure supporting onboarding of new teams and AI use cases
• Improve cost attribution, platform reporting, and usage visibility across AI services
• Partner with engineering teams adopting agentic AI capabilities
• Improve platform reliability, observability, monitoring, and automation
• Establish standards and best practices for enterprise AI platform adoption

Skills

Software architecture

Distributed systems

Platform engineering

DevOps / SRE

Cloud-native engineering

Observability & monitoring

CI/CD pipelines

Experience with AI tooling

Evaluate AI-generated code

Education

AWS Certified Solutions Architect Professional

AWS Certified DevOps Engineer Professional

HashiCorp Terraform Associate

Microsoft Azure Developer Associate

Microsoft Azure DevOps Engineer Expert

CKAD

Tools

Terraform

Azure DevOps

GitHub Actions

Docker

Kubernetes

Redis

Job description

Job Description

Seeking a Senior AI Engineer to support and expand an internally developed AI platform used for incident triage, code review, observability, monitoring, and engineering productivity. This role is focused on AI infrastructure, platform engineering, Kubernetes, cloud architecture, and enabling enterprise-wide adoption of agentic AI capabilities.

The team is building and scaling a multi-agent platform that supports engineering teams across the organization. This position will help solve authentication, governance, scalability, onboarding, and AI infrastructure challenges as adoption continues to grow.

Day-to-Day

Support and expand the internal AI platform and agent ecosystem

Develop and enhance AI agents used for incident triage, monitoring, observability, and operational automation

Support Kubernetes-based AI workloads and cloud-native services

Solve authentication, scalability, governance, and platform engineering challenges

Build infrastructure supporting onboarding of new teams and AI use cases

Improve cost attribution, platform reporting, and usage visibility across AI services

Partner with engineering teams adopting agentic AI capabilities

Improve platform reliability, observability, monitoring, and automation

Establish standards and best practices for enterprise AI platform adoption

Skills and Requirements

10+ years of software engineering experience across design, development, deployment, and support

10+ years reviewing code and technical solutions against business and operational requirements

5+ years of Terraform and Infrastructure as Code experience

5+ years designing and supporting CI/CD pipelines (Azure DevOps, GitHub Actions, etc.)

5+ years working with observability platforms including logging, monitoring, tracing, dashboards, alerting, and SLOs

5+ years of relational and NoSQL database experience

3+ years of Docker and Kubernetes experience

Experience using AI coding tools and agentic workflows

Strong software architecture and distributed systems background

Ability to evaluate, validate, and improve AI-generated code and infrastructure

Strong cloud-native engineering experience

Experience supporting platform engineering, DevOps, SRE, or cloud infrastructure environments

Experience translating business requirements into technical solutions

Strong testing and validation experienceExperience building and deploying agentic AI solutions in production

LangGraph

LangChain

Azure AI Foundry

Platform Engineering experience

SRE experience

Event-driven architecture experience

Advanced Redis experience

Legacy modernization experience

AWS Certified Solutions Architect Professional

AWS Certified DevOps Engineer Professional

HashiCorp Terraform Associate

Microsoft Azure Developer Associate

Microsoft Azure DevOps Engineer Expert

Certified Kubernetes Application Developer (CKAD)

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].