Platform & Infrastructure FDE

Job Description Job Description Role: Platform & Infrastructure FDE
Location: Plano, TX -Onsite
Ability to write basic scripting and basic SQL's outside the Al expertise.

Job Description
Key Responsibilities
" Embed within infrastructure teams and work closely with business and infrastructure leaders.
" Identify automation opportunities Consultantly, 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 adEligible to workion 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