Senior Forward Deployed Engineer

Ffive; Seattle (WA); On-site; USD 150,000 - 210,000; Full time

Job summary

F5 is seeking a Senior Forward Deployed Engineer to drive AI-powered enterprise applications and automation across GTM, RevOps, and platform engineering. You will prototype high-impact tools, then mature them into production, setting the technical patterns for the team.

As a hands-on senior contributor, you will rollout AI developer platforms, measure outcomes, and ensure security, privacy, and governance align with corporate standards. Expect a greenfield build with substantial impact.

Qualifications

• 8+ years of software engineering experience, including 3+ years hands-on with AI/ML systems or enterprise automation.
• Expert Python: production-quality code, REST API design, async patterns, reusable framework design.
• Production agentic AI and RAG systems shipped and operated; familiarity with retrieval strategies and eval design.

Responsibilities

• Prototype and ship internal AI tools to raise team throughput (AI-assisted coding, automated code review, test generation, QA automation).
• Turn ideas into MVP quickly: scope, build, demo, test with real users, then decide to harden or kill.
• Roll out AI developer platforms (Claude Code, Gemini Enterprise, Copilot) with standards, prompts, guardrails, and adoption.
• Instrument outcomes: cycle time, review latency, defect escape rate, hours saved, as measurable outcomes.
• Design and deliver AI automation across GTM and RevOps copilots, support triage, quote-to-cash workflows.
• Build enterprise RAG over data with vector stores, hybrid search, and eval loops tied to KPIs.

Skills

Python

REST APIs

AI/ML systems

Cloud platforms

CI/CD

Docker/Kubernetes

LangChain

LangGraph

MCP

GitHub Actions

Tools

LangChain

LangGraph

MCP

Datadog

Splunk

GitHub Actions

Docker

Kubernetes

Job description

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

About the Role

The F5 CX Organization builds and runs the enterprise systems behind GTM, Customer Success & Support, RevOps, 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.

What You’ll Do

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, GitHub 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 RevOps copilots, support triage and resolution, quote-to-cash automation, and end-to-end process workflows
• Build production agentic systems with LangChain, LangGraph, 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, ServiceNow/Zendesk, MuleSoft/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 governance review boards so systems meet security, privacy, and AI ethics requirements. Identify and mitigate model bias, and handle PII and prompt injection risk deliberately
• Present architectures, trade‑offs, and ROI clearly to senior leadership and non-technical partners

What You’ll Bring

• 8+ years of software engineering experience, including 3+ years hands‑on with AI/ML systems, LLM application engineering, or enterprise intelligent automation
• Expert Python: production-quality code, REST API design, async patterns, and reusable framework design
• Production agentic AI and RAG systems you have shipped and operated, not demos. Fluency with retrieval strategy, eval design, and the failure modes of both
• Strong enterprise business systems background, with hands‑on Salesforce (Flows, Apex, CPQ, and/or Agentforce/Einstein) and familiarity with Oracle application stacks
• Experience with enterprise integration platforms (MuleSoft, Workato, Boomi, or equivalent) across distributed SaaS ecosystems
• Cloud platforms (AWS, GCP, or Azure), containerization (Docker/Kubernetes), CI/CD (GitHub Actions or equivalent), secrets management, and least‑privilege access
• Daily hands‑on use of AI coding and productivity tooling in your own wor