Platform & Infrastructure FDE
Posted:
11 October 2026 (Yesterday)
Application Deadline:
8 January 2027
Vacancies:
1 Vacancy
Job Summary
Role: Platform & Infrastructure FDE
Location: Plano TX -Onsite
Ability to write basic scripting and basic SQLs 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
Location: Plano TX -Onsite
Ability to write basic scripting and basic SQLs 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
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