AI Business Automation Engineer

About the role

The AI Business Automation Engineer will partner directly with functional Subject Matter Experts across Box to map current-state processes, identify friction and waste, and co-design AI-first reinventions that materially change how the work gets done.

Responsibilities

• Partner directly with functional SMEs to map current-state processes, identify friction and waste, and co-design AI-first reinventions that materially change how the work gets done.
• Translate business requirements into clear technical specifications, architecture diagrams, and delivery plans, then build the agentic solution end-to-end alongside teammates and senior engineers.
• Rapidly prototype using Python and modern AI tooling (LLM APIs, RAG patterns, agent frameworks, workflow orchestration) to validate ideas before scaling them into production.
• Build and maintain integrations between Box’s core SaaS systems (Box, Workday, Salesforce, NetSuite, Atlassian, BigQuery, etc.) using APIs, iPaaS platforms, and custom services.
• Design and implement automations that retire manual work, replace brittle scripts, and unlock capacity for the business.
• Own the data plumbing — pipelines, models, access patterns — that makes AI solutions trustworthy and operable.
• Apply security, privacy, and compliance controls from day one: data classification, least-privilege access, secrets management, auditability, and responsible AI guardrails.
• Operate what you build: monitoring, runbooks, incident response, and continuous improvement based on real usage.
• Evangelize what’s possible. Bring SMEs along the journey so they become co-owners of the AI-first future, not passive recipients of it.

Requirements

• 2-3+ years of hands-on engineering experience in IT or software engineering roles, with a track record of shipping production code that real users depend on.
• Deep experience with agentic coding platforms like Claude Code, Cursor, and Codex, as well as experience building custom agents that leverage MCP servers and CLIs.
• Proficiency in Python (or equivalent in Go, TypeScript, Java) — you write clean, tested, maintainable code and are comfortable contributing to a real codebase, not just notebooks.
• Demonstrated ability to translate business problems into technical specs and delivered software. You can write a clear design doc, build the thing, and explain it to a non-technical partner.
• Working knowledge across several of the following, with depth in at least one: cloud infrastructure (GCP preferred), data engineering (SQL, warehouses, pipelines), integration patterns (REST, GraphQL, webhooks, event-driven, iPaaS like Workato/SnapLogic), automation tooling, and IAM.
• Familiarity with information security fundamentals — authn/authz, encryption, secrets handling, and safe data practices — and a willingness to learn what it takes to build systems that pass an audit.
• Experience with agent frameworks (LangGraph, OpenAI Agent SDK, Claude Agent SDK, etc.), MCP, or building tool-using systems at scale.
• Strong product instincts and a bias for shipping. You know when to deliver a thin slice and learn versus when to invest in something more durable.
• Excellent communication skills. You build trust with non-technical partners and write specs, docs, and updates that travel without you in the room.

Qualifications

• Hands-on experience applying modern AI to real problems: LLM APIs, prompt engineering, retrieval-augmented generation, or building at least one AI-driven workflow, prototype, or agent.

Skills

• Agentic coding platforms (Claude Code, Cursor, Codex)
• Python (or equivalent in Go, TypeScript, Java)
• Data engineering (SQL, warehouses, pipelines)
• Cloud infrastructure (GCP preferred)
• Integration patterns (REST, GraphQL, webhooks, iPaaS like Workato/SnapLogic)
• Automation tooling
• Information security fundamentals (authn/authz, encryption, secrets handling, and safe data practices)
• Agent frameworks (LangGraph, OpenAI Agent SDK, Claude Agent SDK, etc.)
• MCP

Benefits

• Flexible work schedule
• Competitive compensation package
• Equity options
• Health insurance
• Retirement plans
• Professional development opportunities

Pay

United States Pay Range: $146,500 USD - $183,000 USD

Schedule

Full-time

Contact

To apply, please visit our careers page.