Senior AI Systems Engineer

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 Box is scaling Box AI and our internal analytics to power smarter decisions across the business. You will design and deploy AI agents and operational solutions that strengthen both IT and business workflows. These agents will be engineered to minimize hallucinations and prioritize security in their models, data handling, and decision-making. You will also build and maintain MCP servers and developer tools that surface actionable data insights and make it easier for teams to act on them. Overall, your work will connect secure, reliable infrastructure with practical AI capabilities to accelerate informed, low-risk decision-making across the organization. WHAT YOU’LL Do Design, build, and deploy AI agents that automate and improve IT and business workflows while minimizing hallucinations and ensuring reliable outputs. Implement model validation, monitoring, and fail-safe mechanisms to detect and reduce incorrect or risky agent behavior. Architect secure data handling pipelines (ingest, storage, access controls, encryption) to protect sensitive information used by models and agents. Develop and maintain MCP servers and developer tooling that surface actionable insights and make it easy for teams to query, debug, and act on model outputs. Integrate observability and telemetry (logging, metrics, tracing) for agents and infrastructure to enable rapid incident detection, root-cause analysis, and performance tuning. Build role-based APIs and interfaces that allow business and engineering teams to safely interact with agents and automated workflows. Create onboarding, documentation, and training materials to help teams adopt agents and follow best practices for secure, low-risk usage. Collaborate with security, compliance, and product teams to define policies, access controls, and approval workflows for model deployment and data use. Optimize infrastructure cost and reliability through capacity planning, fault tolerance, CI/CD pipelines, and automated testing for agent behavior and integrations. Continuously evaluate new model architectures, tooling, and defenses to improve accuracy, reduce bias, and maintain a secure, scalable AI platform. Define canonical schemas, metadata standards, and classification taxonomies to enable trusted decisions and secure data sharing between IT and business teams. Create automated metadata pipelines using AI/NLP to extract, normalize, and enrich dataset context (ontology, definitions, sensitivity, lineage), and automate metadata population, semantic matching, and lineage inference for faster cataloging. Develop AI agents and tooling that summarize dataset health, recommend joins/transformations, infer lineage, and route remediation tasks to owners. Measure and report on adoption, data health, and governance maturity; iterate standards and tooling based on feedback and telemetry. Mentor peers and evangelize best practices to raise organizational data maturity and enable reliable AI/analytics at scale. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. An AI-first practitioner who seeks to use AI to accelerate decisions and amplify impact. 5+ years software engineering experience; 2+ years building ML/AI products or agent systems. Strong Python skills; familiarity with Go/Java/TypeScript preferred. Experience with LLMs, prompt engineering, RAG, and vector stores (FAISS/Milvus/Weaviate). Experience with ML frameworks (PyTorch/TensorFlow) and model evaluation/validation techniques. Cloud experience (AWS/Azure/GCP), Kubernetes, Docker, Terraform. Observability and monitoring tools (Prometheus, Grafana, ELK, OpenTelemetry). Security and compliance familiarity (IAM, encryption, GDPR/HIPAA awareness). Preferred qualifications: Experience with LangChain, Ray, or agent frameworks. Familiarity with semantic metadata/catalog tooling (Dataplex, Looker). Experience with CI/CD (GitHub Actions/Jenkins), chaos testing, and load testing. Track record of reducing hallucinations and improving model reliability. Operational expectations: Troubleshoot production issues. Participation in cross-functional design and review processes. Regular security reviews and compliance audits. An engineer with hands-on experience in cloud data warehouses (BigQuery, Snowflake, Redshift, or similar). Able to lead cross-functional initiatives and influence stakeholders across IT, Security, and business without direct authority. An effective communicator who translates technical concepts into clear guidance for non-technical audiences. Nice to have: Google Cloud Platform, BigQuery administration, data access/security modeling, and regulated data classification experience. BENEFITS Check out the overview of Life at Box which include general perks and benefits. 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! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. For details on how we protect your information when you apply, please see our Personnel Privacy Notice. For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice. #LI-Hybrid #LI-KS2