AI Infrastructure Engineer - Platform & Infrastructure FDE (Onsite)

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.

• 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