WHAT YOU'LL DO

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

WHO YOU ARE

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 whether AI makes a real difference to a business process, not just whether a model can generate an answer
• You are comfortable translating complex technical concepts for executives and business stakeholders, and equally at home in a code editor or a whiteboard session
• You bring consulting discipline to technical work - you formalize requirements, track deliverables, and hold yourself accountable to measurable customer value
• You thrive in ambiguity and fast-moving environments - Box FDEs are often working at the frontier of what's possible, and the best ones lean into that
• You are a trusted partner to customers, not a just a vendor - you understand their business deeply and advocate for their outcomes inside Box
• You love working in a dynamic environment where ambiguity is common...and can effectively speak to both technical and non-technical parties.

FINE PRINT
• 7+ years of development, consulting, professional services, or sales engineering experience.

• Expertise in architecture / system design for cloud solutions (i.e. APIs, DevOps, Infrastructure, middleware, scale limits, rate limits, etc.).

• 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 - not just proof-of-concept
• Hands-on proficiency with AI APIs and at least one major model ecosystem (OpenAI, Anthropic, Google, or equivalent); able to evaluate, confidence score, and select models by capability, cost, and task fit
• Strong programming skills - Python and/or JavaScript - with experience building scripts, API integrations, and automation pipelines that move through a customer SDLC
• Experience in post-sale professional services or consulting environments; comfortable owning customer relationships and driving outcomes over multi-month engagements
• Experience with agentic frameworks and orchestration (LangChain, LlamaIndex, AutoGen, or similar)
• Familiarity with retrieval-augmented generation (RAG), context pipeline design, and prompt engineering at production scale
• 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 alongside model providers' forward-deployed teams in a complementary, context-layer capacity
• You are a collaborative partner who is able and excited to work alongside our customer and their preferred partners to deliver best-in-class solutions

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks.

In accordance with OFCCP compliance, here is the Pay Transparency Provision.

United States Pay Range

$150,000-$200,000 USD