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Lead architecture and implementation of Auger’s data lake and AI platform, building scalable data ingestion, semantic intelligence (knowledge graphs, embeddings, RAG), real-time streaming, and MLOps. Drive system reliability, operational rigor, API-first designs, and mentor engineers while setting platform-wide architectural direction.

As a Senior Data Engineer at Auger, you will build data systems to transform customer data into a unified ontology for analytics and AI workflows, ensuring data quality and managing the data lifecycle.

Own the technical delivery path from signed scope through customer go-live. Lead launch planning, data access architecture, systems integration, testing, cutover, go/no-go decisions, escalations, and post-launch support. Direct rotating engineers, data engineers, and QA contributors while translating between customer IT teams and internal engineering. Resolve requirements and technical tradeoffs, manage risks and dependencies, validate implementation details, and feed recurring customer issues back into product and engineering.

Own and implement security measures across cloud infrastructure and the software lifecycle: threat modeling, risk assessments, security testing, incident response, secure CI/CD, and developer enablement to remediate vulnerabilities and ensure compliance with standards.

Lead strategy, roadmap, and execution for Auger’s shared core platform capabilities (conversational AI, search, identity, notifications, shared workflows, navigation, reports). Productize validated customer concepts into scalable, production-quality platform features, partner with design and engineering, and create consistent cross-product experiences that accelerate innovation and simplify complex workflows.

The IT Operations Engineer supports employee technology, manages onboarding/offboarding, builds automation workflows, and ensures system reliability. They maintain IT processes for scalability in a mixed-device environment and participate in urgent support rotations.

Design, develop, and deploy advanced AI and optimization solutions for large-scale supply chain problems. Build and scale models for forecasting, inventory, network design, and routing; solve mixed-integer and stochastic programs; collaborate with engineering and product teams; engage customers and executive stakeholders; publish and evangelize supply chain science.

Responsible for defining front-end technical vision, designing and delivering user-facing features, championing UX and performance, and building a unified design system of shared components and tokens to accelerate product delivery.

Turn raw customer supply-chain data into structured representations and models. Interpret and contextualize noisy data, form and test hypotheses, build inference, regression, simulation and optimization logic, validate model quality in production, and translate scientific requirements into engineering specifications while collaborating with data engineers and supply-chain experts.

The Strategic BDR role involves mapping buying committees in enterprise accounts, conducting targeted discovery conversations, and building relationships with key stakeholders to facilitate multi-million dollar deals.