Forward Deployed Engineer
$150,000–$200,000 year
Hybrid · Redwood City, California, United States
Job Summary
Forward Deployed Engineer at Box to design and deploy production AI workflows and agentic systems for customers, spanning content preparation for AI, building AI-driven workflows, and post-deployment optimization. Responsibilities include assessing and structuring customers' content environments, designing relationship hierarchies and metadata libraries, running AI readiness assessments, building production-grade code and integrations, designing end-to-end agentic workflows in customer environments, evaluating models and conducting programmatic testing, forecasting spend and ROI, ensuring security and compliance, driving user adoption, and documenting gaps to influence roadmap priorities.
Required Qualifications
- 7+ years of development, consulting, professional services, or sales engineering experience
- Expertise in architecture / system design for cloud solutions (APIs, DevOps, Infrastructure, middleware)
- Expertise in Enterprise Content Management systems and cloud migrations
- Deep understanding of prompt engineering, prompt governance, evaluation and testing frameworks, model selection, benchmarking, and security/compliance scoping for AI
- Proven experience designing and building production AI workflows or agentic systems
- Hands-on proficiency with AI APIs and at least one major model ecosystem (OpenAI, Anthropic, Google, or equivalent)
- Strong programming skills — Python and/or JavaScript — with experience building scripts, API integrations, and automation pipelines
- Experience in post-sale professional services or consulting environments; customer relationship management
- Experience with agentic frameworks and orchestration (LangChain, LlamaIndex, AutoGen, or similar)
- Familiarity with retrieval-augmented generation (RAG), context pipeline design, and production-scale prompt engineering
- Understanding of enterprise content governance, information architecture, and data security considerations in AI deployments
- Experience with LLM evaluation methodologies — building evals, confidence scoring, human-in-the-loop review workflows
- Experience working with model providers' forward-deployed teams in a complementary, context-layer capacity
- Collaborative partner able to work with customers and partners to deliver solutions
- Willingness to work from assigned office a minimum of 3 days per week
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