Developing backend solutions: Build backend services, scripts and REST APIs using Python, Node.js or similar technologies to process and integrate industrial data.
We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.
Responsible for designing, building, and operating scalable data ingestion, transformation, and serving capabilities across a modern hybrid cloud data platform, ensuring solutions are reliable, secure, reusable, and aligned to enterprise architecture and governance standards.
Manage and oversee the end-to-end Accounts Receivable (AR) process, ensuring accurate and timely processing of customer and intercompany invoices, AR netting activities, collections monitoring, reporting, and month-end closing activities.
Mobilise each engagement. You convert the proposal and statement of work into a release plan, a prioritised backlog, milestones, acceptance criteria, a responsibility matrix and a governance cadence agreed with the client.
Work closely with Fab users, engineers, and stakeholders to understand manufacturing and engineering requirements, operational challenges, and opportunities for AI application.
You will be responsible for architecting and delivering Azure-native AI solutions across complex enterprise environments. This senior-level role requires deep technical expertise in Python, Azure OpenAI, Semantic Kernel, and modern LLM orchestration patterns, alongside the strategic capability to guide multi-year transformation programs and articulate AI strategies to senior stakeholders.