What are the responsibilities and job description for the AI Infrastructure Engineer - Fort Mill, SC (Hybrid) - Full Time - Lorven Technologies Inc. position at Lorven Technologies, Inc.?
Position: AI Infrastructure Engineer
Location: Fort Mill, SC (Hybrid)
Duration: Full Time
Key Responsibilities
- Bachelor's or Master's degree in Computer science or equivalent, with minimum 10 Years of experience in IT.
- Embed within Infrastructure teams and work closely with business and infrastructure leaders.
- Identify automation opportunities independently, without waiting for instructions.
- Build AI-assisted solutions using Cursor and GitHub Copilot.
- Develop Infrastructure automation and build AI workflows and AI agents.
- Modernize infrastructure platforms and improve cloud migration efficiency.
- Build vulnerability remediation automation.
- Demonstrate proof-of-concepts rapidly and deliver measurable productivity improvements.
- Mentor existing engineering teams and promote AI adoption across the organization.
Required Skills & Experience
- Programming & scripting: strong Python development, scripting, and APIs.
- Infrastructure & cloud: infrastructure engineering, cloud platforms (AWS preferred), Infrastructure as Code (IaC), DevOps, and automation.
- AI-assisted engineering: GitHub Copilot, Cursor AI, prompt engineering, LLM-based software development, and AI-assisted coding.
- Ways of working: strong problem solving, a self-starter mindset, and excellent communication.
Platform & Infrastructure FDE:
- Infrastructure as Code — Terraform, Pulumi, AWS CDK, VMware, OpenShift
- Configuration-as-Code — Ansible, Puppet
- CI/CD — GitHub Actions, ArgoCD
- Kubernetes — EKS / GKE / AKS, Helm, service mesh
- Observability — OpenTelemetry, Dynatrace, Grafana, LLM metrics
- Cloud security — VPC, PrivateLink, encryption, data residency
- Compliance — SOC 2, HIPAA, FedRAMP for LLM
- Agentic frameworks — LangGraph, CrewAI, N8N
- LLMOps — model routing (LiteLLM), semantic caching, prompt versioning, A/B testing
- Cost / FinOps for LLM
Preferred Skills
- Agentic AI workflows and AI orchestration
- Infrastructure modernization and platform engineering
- Security automation and vulnerability management
- FinOps and observability
- Cloud migration