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
Disclaimer: Diverse Lynx LLC is an Equal Opportunity Employer. All applicants and employees are evaluated without discrimination, based solely on their qualifications, ability, competence and performance. This email and its attachments may contain confidential or proprietary information and is intended only for the recipient(s). If you received this message in error, please disregard it and notify the sender. If you no longer wish to receive our communications, you may unsubscribe at any time.
Security Notice: Our official website is www.diverselynx.com We do not operate or authorize any other websites representing Diverse Lynx LLC.