AI Infrastructure Engineer

The AI Infrastructure Engineer works directly with infrastructure teams to identify automation opportunities, modernize platforms, and deploy AIassisted engineering solutions. This role embeds within technical teams to build AI workflows, agents, and automation that improve productivity, accelerate cloud migration, and enhance security operations.

Note: Must have Financial domain Exp

Responsibilities

• Embed within infrastructure teams to understand workflows, pain points, and automation opportunities.
• Independently identify areas where AI, automation, or modernization can reduce manual effort.
• Build AIassisted engineering solutions using tools such as GitHub Copilot and Cursor AI.
• Develop infrastructure automation and AIdriven workflows to streamline operations.
• Build and deploy AI agents that support engineering tasks and platform operations.
• Modernize infrastructure platforms and improve cloud migration efficiency.
• Create automation for vulnerability remediation and security processes.
• Mentor engineering teams on AIassisted development and best practices.
• Promote AI adoption across the organization through handson support and enablement.
• Deliver measurable productivity improvements through automation and AI integration.
• Rapidly develop proofofconcepts to validate new ideas and demonstrate value.

Required Skills

• Strong Python development skills.
• Infrastructure engineering experience.
• Cloud platforms (AWS preferred).
• Infrastructure as Code (IaC).
• GitHub Copilot proficiency.
• Cursor AI proficiency.
• Prompt engineering expertise.
• LLMbased software development.
• AIassisted coding.
• DevOps practices and automation.
• API development and integration.
• Scripting and workflow automation.
• Strong problemsolving ability.
• Selfstarter mindset with ability to work independently.
• Excellent communication skills.

Preferred Skills

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

Success Measures

• Reduction of manual engineering effort by 50 70%.
• Increased AI adoption across infrastructure teams.
• Delivery of meaningful infrastructure automation.
• Faster project execution and improved delivery velocity.
• Measurable improvements in engineering productivity.
• Positive influence on engineering culture and AI readiness.