Jobs at Buckman

Designs and leads enterprise AI solutions across commercial, manufacturing, supply chain, and operations functions. Responsibilities include AI architecture, forecasting, optimization, data governance, Azure and Microsoft ecosystem integration, SAP connectivity, MLOps, analytics, adoption, and change management. The role drives revenue growth, supply chain efficiency, predictive decision-making, and scalable AI transformation across the organization.

Designs, develops, and maintains automated UI, API, and integration test suites and scalable QA frameworks. Integrates testing into CI/CD pipelines and applies AI-assisted tools such as GitHub Copilot to accelerate test creation and reduce flaky tests. Collaborates with developers and product teams in Agile environments. The role may also involve web, mobile, cloud, BDD, performance, and security testing.

Provides technical support for customers using IoT devices through email and Microsoft Teams. Responsibilities include troubleshooting issues, delivering technical guidance, escalating complex problems, managing support tickets, maintaining records, and coordinating with sales and service stakeholders. The role also supports digital innovation projects and new digital offerings.

Responsible for product costing, standard costing, inventory valuation, manufacturing variance analysis, month-end close, budgeting, forecasting, and financial reporting. Maintains BOMs, routings, cost structures, and inventory reconciliations; investigates discrepancies; prepares margin and cost reports; and provides profitability insights to Operations, Supply Chain, FP&A, and Finance leadership. Also supports sales incentive accruals, compliance, controls, audits, and finance initiatives across APAC and North America manufacturing operations.

Design, deploy, and scale production-grade machine learning, deep learning, and generative AI solutions on cloud platforms, primarily Azure. Lead LLM applications such as chatbots and agentic workflows, oversee the full ML lifecycle, ensure production reliability and governance, and partner with global business and technical stakeholders. Mentor junior team members, influence architecture and best practices, and drive AI initiatives from problem definition through measurable business impact.