AI Infrastructure Engineer - Platform & Infrastructure FDE (Only W2)

AI Infrastructure Engineer - Platform & Infrastructure FDE (Onsite)

Location : Austin, TX or Fort mill, SC

Duration: Fulltime 

Job Description:

Candidates must demonstrate strong hands-on expertise in Python, live coding, scripting, and practical AI agent development, beyond just discussing experience.

About the Role:

Wipro is building a Forward Deployed AI Engineering team to support an AI-first infrastructure organization. The goal is to embed AI engineers directly across infrastructure teams, build a centralized AI engineering pool that can rapidly solve business problems, and automate manual infrastructure processes wherever possible.

Early AI initiatives on the account have already delivered a 60% reduction in migration effort, a 50% reduction in modernization effort, and an automated vulnerability discovery and remediation pipeline. These engineers are expected to act as transformation catalysts — not traditional developers — using AI as the first approach to solving problems and inspiring the existing engineering teams around them.

Target infrastructure domains

•     Cloud

•     Network

•     Compute

•     Storage

•     Database Platforms

•     Infrastructure Security

•     Automation

Purpose

Work directly with infrastructure teams to identify opportunities, build AI-powered solutions, automate manual processes, and accelerate engineering productivity.

Key Responsibilities

•     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: Hands on 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.

Preferred Skills

•     Agentic AI workflows and AI orchestration

•     Infrastructure modernization and platform engineering

•     Security automation and vulnerability management

•     FinOps and observability

•     Cloud migration

Platform & Infrastructure FDE

Depth in the platforms, pipelines, and guardrails that AI-driven infrastructure runs on.

•     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

Desired Behavioural Traits

•     AI-native mindset — uses AI as the first approach to solving problems

•     Highly proactive; identifies opportunities and builds automation without being asked

•     Curious, innovative, and an independent thinker

•     Strong collaborator, comfortable working with ambiguity

•     Outcome-focused; delivers measurable productivity gains rather than incremental ones

•     Able to influence and mentor others, acting as a transformation catalyst