Job Title: Platform & Infrastructure FDE

City: FORT MILL

State/Province: South Carolina

Posting Start Date: 10/2/26

Job Description:

Job Description

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: 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

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

Agentic Systems FDE

Depth in designing, orchestrating, and evaluating reliable multi-agent AI systems.
• Agentic frameworks - LangGraph, CrewAI, AutoGen, Anthropic computer-use
• Tool / function calling
• Orchestration & state - retry, checkpointing, failure modes
• Multi-agent patterns
• Memory systems - short-term, long-term vector, episodic
• Human-in-the-loop approval workflows
• Non-deterministic output evaluation
• Tracing - LangSmith, Arize, OpenTelemetry

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 Infra Operations.

Experience: >10 YEARS.

The expected compensation for this role ranges from $100,000 to $200,000 .

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.