Wipro

AI Infrastructure Engineer - Principal FDE

Wipro$60K — $135K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-8 years of experience in AI ML Ops Infrastructure.
  • Strong programming skills in Python, along with scripting and APIs.
  • Proficient in infrastructure engineering, including cloud platforms like AWS, IaC, DevOps, and automation.
  • Experience with AI-assisted development tools like GitHub Copilot and Cursor AI.
  • Strong problem-solving skills with a self-starter mentality and excellent communication abilities.

Responsibilities

  • Embed within infrastructure teams and collaborate with leaders.
  • Independently identify automation opportunities in existing processes.
  • Develop AI-assisted solutions using tools like Cursor and GitHub Copilot.
  • Create infrastructure automation and AI workflows.
  • Enhance cloud migration efficiency and modernize platforms.
  • Automate vulnerability remediation processes.
  • Rapidly demonstrate proof-of-concepts to improve productivity and mentor teams.

Benefits

  • Full range of medical and dental benefits options.
  • Disability insurance.
  • Paid time off including sick leave.
  • Additional paid and unpaid leave options.
Full Job Description
Job Title: AI Infrastructure Engineer - Principal FDE

City: FORT MILL

State/Province: South Carolina

Posting Start Date: 8/7/26

Job Description:

Job Description

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


Principal FDE (future / escalation profile)

Not part of this hiring wave, but the likely escalation profile as the engagement scales.
• End-to-end enterprise AI architecture
• Provider trade-offs - Anthropic vs. Bedrock vs. Vertex vs. Azure
• AI governance and build-vs-buy decisions
• ROI / KPI ownership
• Executive presence with CTO / CDO / CFO stakeholders

Mandatory Skills: AI ML Ops Infrastructure.

Experience: 5-8 Years.

The expected compensation for this role ranges from $60,000 to $135,000 .

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

About Wipro

Wipro Limited is an Indian multinational corporation that provides information technology, consulting and business process services. The company was founded in 1945 and is headquartered in Bengaluru, India. Wipro has operations in over 50 countries and employs over 191,000 people. The company's primary business is in the information technology sector, and it provides services such as application development and maintenance, digital strategy consulting, and data analytics.
Learn more about Wipro
Size
240,000 employees
Market Cap
$25.9 billion
Industry
Net Income
$101.4 billion
Founded
1945
5 Year Trend
+7.5%
Revenue
$614 billion
NASDAQ

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