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Sr. AI Engineer (AI SDLC / Delivery)

Insight Global

Miami, FLJobSeen 3 days agoSeen in employer's feed 3 days ago

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At a glance

Compensation
No compensation found
Location
Miami, FL
Work Authorization
Not specified

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Job overview

Insight Global seeks a Senior AI Engineer to lead software delivery in an AI-assisted engineering environment. The role will use AI coding agents and modern engineering practices to accelerate development, testing, infrastructure deployment, and delivery, while establishing organizational standards. The initial project is a Tour Operations Portal for shore excursion inventory, vendor management, pricing, allocations, and operational workflows, delivered in partnership with Product, Architecture, QE, and SRE teams.

Skills & qualifications

RequiredNice to have

Skills

Software EngineeringCode ReviewC#/.NETReactTerraformInfrastructure as CodeCI/CD PipelinesAzure DevOpsGitHub ActionsObservability PlatformsRelational DatabasesNoSQL DatabasesDockerKubernetesAI Coding ToolsAgentic WorkflowsSoftware ArchitectureDistributed SystemsCloud-Native EngineeringRequirements TranslationUnit TestingIntegration TestingAPI TestingEnd-to-End TestingInfrastructure ValidationProduction AI DeploymentLangGraphLangChainAzure AI FoundryEvent-Driven ArchitectureRedisLegacy Modernization

Qualifications

10+ Years Software Engineering Experience10+ Years Code Review Experience7+ Years Backend Development Experience5+ Years Frontend Framework Experience5+ Years Terraform Experience5+ Years CI/CD Experience5+ Years Observability Experience5+ Years Database Experience3+ Years Docker and Kubernetes ExperienceAWS Certified Solutions Architect ProfessionalAWS Certified DevOps Engineer ProfessionalHashiCorp Terraform Associate

Full job description

Job Description

Job Overview

Seeking a Senior AI Engineer to drive software delivery in an AI-assisted engineering environment. This individual will leverage AI coding agents and modern engineering practices to accelerate application development, testing, infrastructure deployment, and delivery while helping establish standards for AI-assisted software engineering across the organization.

The initial project is a Tour Operations Portal supporting shore excursion inventory, vendor management, pricing, allocations, and operational workflows. This person will act as a technical lead, driving delivery while partnering across Product, Architecture, QE, and SRE teams.

Day-to-Day

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 the Tour Operations Portal initiative and future enterprise application projects

Identify technical debt, architectural risks, and implementation gaps

Collaborate with Product, Architecture, QE, SRE, and business stakeholders

Continuously improve AI engineering workflows, standards, and delivery processes

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

7+ years of backend development experience with C#/.NET (preferred)

5+ years of experience with React or similar frontend frameworks

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 to accelerate software delivery

Strong software architecture and distributed systems background

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

Strong cloud-native engineering experience

Experience translating business requirements into technical solutions

Strong testing experience across unit, integration, API, end-to-end, and infrastructure validation Experience building and deploying agentic AI solutions in production

LangGraph

LangChain

Azure AI Foundry

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 [email protected].

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