Senior Forward Deployed Engineer

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better.

And it means we prioritize a diverse F5 community where each individual can thrive.

Senior Forward Deployed Engineer F5 Digital
· Customer Experience Organization

The F5 CX Organization builds and runs the enterprise systems behind GTM, Customer Success & Support, Rev Ops, and Platform Engineering. We are embedding AI into how those systems work, and into how we build them. We are hiring a Senior Forward Deployed Engineer: a hands‑on senior individual contributor who moves from business problem to working prototype fast, then hardens what works into production.

Your time splits across two mandates: maturing our enterprise applications with AI and automation, and making our own engineering and product teams measurably faster with AI across the SDLC. This is a greenfield build role, not a sustain‑the‑business role. You will set the technical patterns other engineers follow.

• AI for the SDLC & Internal Productivity
  • Prototype and ship internal tools that raise team throughput: AI‑assisted coding workflows, automated code review, test generation and QA automation, and AI drafting of PRDs, user stories, and acceptance criteria
  • Go from idea to MVP in days. Scope it, build it, demo it, get real users on it, then decide to harden or kill
  • Roll out and tune AI developer platforms (Claude Code, Gemini Enterprise, Git Hub Copilot, or equivalent) across engineering teams, including standards, prompt and context patterns, guardrails, and adoption
  • Instrument what you build. Cycle time, review latency, defect escape rate, and hours saved, reported as outcomes rather than activity
• Enterprise Applications & Agentic Systems
  • Design and deliver AI automation across business systems: GTM and Rev Ops copilots, support triage and resolution, quote‑to‑cash automation, and end‑to‑end process workflows
  • Build production agentic systems with Lang Chain, Lang Graph, MCP, or equivalent: multi‑agent orchestration, tool calling, memory management, human‑in‑the‑loop checkpoints, and stateful workflow design
  • Architect enterprise RAG over business and product data: ingestion and chunking strategy, vector store selection, hybrid search and reranking, embedding model management, and eval loops tied to business KPIs
  • Establish prompt engineering as an engineering discipline: versioning, structured output contracts, regression test harnesses, and systematic evaluation
• Integrations & Platform Engineering
  • Lead integration design across Salesforce (Flows, Apex, Agentforce/Einstein), Oracle applications, Service Now/Zendesk, Mule Soft/Workato, and internal APIs
  • Build the reusable connector library and self‑serve intake path so new use cases onboard without bespoke work every time
  • Own CI/CD for AI workloads: automated eval gates, model and prompt versioning, deployment orchestration, and rollback strategy
  • Keep production AI observable and reliable through monitoring, alerting, and data integrity practices (Datadog, Splunk, or equivalent)
• Technical Leadership & Responsible AI
  • Define AI engineering standards for the CX organization: coding patterns, RAG design, eval practices, integration patterns, and documentation
  • Mentor AI, automation, and prompt engineers through design reviews, pair engineering, and structured feedback
  • Partner with Enterprise Architecture and…