Senior Data Engineer - AI

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.

Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!

We're seeking a Senior Data Engineer to work across the full stack of Anaplan AI applications. You will build transformative AI capabilities from the ground up, including model integration and prompt engineering, and contribute to the technical direction for how we ingest, transform, store, serve, and govern the data that powers our LLM-based and agentic systems.

You will build real-time, user-facing AI features that directly shape business planning and decision-making. This role demands strong machine learning expertise paired with data engineering skills—providing unique growth at the intersection of AI and enterprise software.

Your Impact

Contribute to the data architecture, design, and deployment of scalable Generative AI and Machine Learning systems into production environments.

Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments.

Integrate and optimize LLMs for specific business planning use cases, including prompt engineering and RAG implementation.

Design and build the retrieval and knowledge layer powering our RAG and agentic workloads, such as vector databases, graph databases, knowledge graphs, hybrid search, and embedding pipelines.

Help design the knowledge graph that captures the semantics of customer models, metrics, hierarchies, and relationships.

Build the data plane for evaluation and continuous improvement, working with cutting-edge conversational and agentic AI technologies.

Engineer the feature and context pipelines that feed forecasting and anomaly-detection models at customer scale, balancing batch and streaming patterns.

Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics.

Your Qualifications

Extensive data engineering experience with a track record of delivering complex projects.

Hands-on experience build