AI Infrastructure Engineer

Location: Austin, TX / Fort Mill, SC | Onsite Purpose: Work directly with Client's infrastructure teams to identify opportunities, build AI-powered solutions, automate manual processes, and accelerate engineering productivity. Responsibilities

• Embed within infrastructure teams.
• Identify automation opportunities independently.
• Build AI-assisted solutions using Cursor/GitHub Copilot.
• Develop infrastructure automation.
• Build AI workflows and AI agents.
• Modernize infrastructure platforms.
• Improve cloud migration efficiency.
• Build vulnerability remediation automation.
• Mentor existing engineering teams.
• Promote AI adoption across the organization.
• Deliver measurable productivity improvements.
• Demonstrate proof-of-concepts rapidly.
• Work closely with business and infrastructure leaders.

• Strong Python development
• Infrastructure engineering
• Cloud platforms (AWS preferred)
• Infrastructure as Code
• GitHub Copilot
• Cursor AI
• Prompt Engineering
• LLM-based software development
• AI-assisted coding
• DevOps
• Automation
• APIs
• Scripting
• Problem solving
• Self-starter mindset
• Excellent communication

Preferred Skills

• Agentic AI workflows
• AI orchestration
• Infrastructure modernization
• Security automation
• Vulnerability management
• FinOps
• Observability
• Platform Engineering
• Cloud migration

Success Measures

• Manual effort reduced by 50 70%
• AI adoption increased across teams
• Infrastructure automation delivered
• Faster project execution
• Improved engineering productivity
• Positive influence on engineering culture

Desired Behavioral Traits

• AI-native mindset
• Highly proactive
• Curious and innovative
• Independent thinker
• Strong collaborator
• Comfortable working with ambiguity
• Outcome-focused
• Able to influence and mentor others.