Forward Deployed Engineer

Responsibilities

• Your work spans three core areas across each customer engagement:
• Prepare enterprise content for AI
• Assess and structure customers' content environments - information architecture, metadata, permissions, and governance - so models and agents can retrieve the most relevant, secure, and current content
• Design relationship hierarchies, metadata libraries with associated templates, Hubs, integrations and permissions for agentic use cases
• Run AI readiness assessments and deliver actionable roadmaps for customers preparing for Box AI-driven workflows
• Design and build AI workflows and agents
• Partner with customer AI leadership to define holistic AI strategy, set priorities, and deliver prescriptive roadmaps - reporting progress to executives on an ongoing basis
• Lead requirements workshops to formalize scope into achievable, tracked deliverables
• Build production-quality code - scripts, apps, API integrations - that scales correctly and handles failures gracefully
• Design and build end-to-end agentic workflows directly in our customer's environments: context pipelines, prompts, generative steps, agents, and downstream integrations, including Box MCP server and customer-chosen orchestrators
• Run programmatic model testing across approved models to find best fit per use case; build dashboards tracking reliability, speed, accuracy, and cost
• Design every solution with AI unit and token efficiency at the center - forecasting spend and supporting ROI calculations
• Post Deployment Optimization
• Own post-deployment reliability: monitoring, alerting, fallback paths, drift detection, and change-control so solutions stay accurate and trusted over time
• Tune workflows as prompts drift, agents multiply, and models change - refining for cost and output quality
• Drive end-user adoption through enablement, roadshows, and LOB-specific configuration
• Document product gaps and work with Box Product & Engineering to influence roadmap priorities
• Track KPI attainment and adoption signals post-launch; package learnings into repeatable patterns that scale across customers
• Evolve deployment strategy with Customer as AI approaches and models advance

Requirements

• You are part engineer, part solution architect, and part customer-facing operator. You can build the workflow, make the right AI and architecture choices, and understand which business processes are worth transforming in the first place.
• You are energized by the pace of AI - you follow model releases, emerging agentic patterns, and evolving best practices because you're genuinely curious, not because it's required
• You think in systems and outcomes, not just features - you care whet

Additional Information

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It's the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Most enterprise AI projects don't fail because the model isn't powerful enough. They stall because the model is missing the context that makes it useful inside a business - the contracts, records, policies, procedures, metadata, permissions, and workflows where an organization keeps what it actually knows. Closing that gap is the real work of enterprise AI, and it's the work a Box Forward Deployed Engineer (FDE) does. Box AI is model-agnostic, letting customers choose the best model for each business need. An FDE works the same way - helping customers build content-centric AI workflows around whichever models best fit their needs, with Box at the center of their intelligent content strategy. As AI models evolve and agentic systems grow more sophisticated, the advantage goes to organizations working with their vendor partners to design, build, and deploy solutions, and then adapting them as models and approaches change. Box FDEs are that partner - turning your content into the context that makes AI and agents useful.

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