Senior Forward Deployed Engineer
F5 Networks
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 EngineerF5 Digital · Customer Experience OrganizationAbout the RoleThe 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 DoAI for the SDLC & Internal ProductivityPrototype 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 criteriaGo from idea to MVP in days. Scope it, build it, demo it, get real users on it, then decide to harden or killRoll 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 adoptionInstrument what you build. Cycle time, review latency, defect escape rate, and hours saved, reported as outcomes rather than activityEnterprise Applications & Agentic SystemsDesign and deliver AI automation across business systems: GTM and RevOps copilots, support triage and resolution, quote-to-cash automation, and end-to-end process workflowsBuild production agentic systems with LangChain, LangGraph, MCP, or equivalent: multi-agent orchestration, tool calling, memory management, human-in-the-loop checkpoints, and stateful workflow designArchitect 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 KPIsEstablish prompt engineering as an engineering discipline: versioning, structured output contracts, regression test harnesses, and systematic evaluationIntegrations & Platform EngineeringLead integration design across Salesforce (Flows, Apex, Agentforce/Einstein), Oracle applications, ServiceNow/Zendesk, MuleSoft/Workato, and internal APIsBuild the reusable connector library and self-serve intake path so new use cases onboard without bespoke work every timeOwn CI/CD for AI workloads: automated eval gates, model and prompt versioning, deployment orchestration, and rollback strategyKeep production AI observable and reliable through monitoring, alerting, and data integrity practices (Datadog, Splunk, or equivalent)Technical Leadership & Responsible AIDefine AI engineering standards for the CX organization: coding patterns, RAG design, eval practices, integration patterns, and documentationMentor AI, automation, and prompt engineers through design reviews, pair engineering, and structured feedbackPartner 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 deliberatelyPresent architectures, trade-offs, and ROI clearly to senior leadership and non-technical partnersWhat You'll Bring8+ years of software engineering experience, including 3+ years hands-on with AI/ML systems, LLM application engineering, or enterprise intelligent automationExpert Python: production-quality code, REST API design, async patterns, and reusable framework designProduction agentic AI and RAG systems you have shipped and operated, not demos. Fluency with retrieval strategy, eval design, and the failure modes of bothStrong enterprise business systems background, with hands-on Salesforce (Flows, Apex, CPQ, and/or Agentforce/Einstein) and familiarity with Oracle application stacksExperience with enterprise integration platforms (MuleSoft, Workato, Boomi, or equivalent) across distributed SaaS ecosystemsCloud platforms (AWS, GCP, or Azure), containerization (Docker/Kubernetes), CI/CD (GitHub Actions or equivalent), secrets management, and least-privilege accessDaily hands-on use of AI coding and productivity tooling in your own workflowWorking knowledge of GTM, RevOps, and CX business processes, with the ability to turn a vague business ask into a scoped technical designA bias toward shipping: you prototype to learn, measure what you ship, and drive problems to resolution without waiting for permissionNice to HaveOracle and/or Salesforce development at enterprise scale; Architect-level certificationLLM security: prompt injection defense, data leakage prevention, output filtering, PII handling in production pipelinesServiceNow or Zendesk AI for intelligent ITSM automation: auto-triage, severity classification, SLA routingAWS serverless and integration services (Lambda, API Gateway, Step Functions, EventBridge, SQS)HashiCorp Vault, AWS Secrets Manager, or similar secrets toolingExperience in a platform engineering, shared services, or federated AI operating modelThe Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.The annual base pay for this position is: $120,000.00 - $180,000.00F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5’s differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change.You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5’s benefits can be found at the following link:. F5 reserves the right to change or terminate any benefit plan without notice.Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com ).Equal Employment OpportunityIt is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting : Seattle; San JoseType: Full time
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