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, from model integration and prompt engineering to contributing 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 user-facing AI features that can be used in real-time, directly impacting how businesses plan and make decisions
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 optimise LLMs for specific use cases in business planning, 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

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, from model integration and prompt engineering to contributing 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 user-facing AI features that can be used in real-time, directly impacting how businesses plan and make decisions
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 optimise LLMs for specific use cases in business planning, 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

Senior Data Engineer (Artificial Intelligence)

Job Description

Apply now

Stay at the forefront
of market

Senior Data Engineer (Artificial Intelligence)

Job Description

Apply now

Senior Data Engineer (Artificial Intelligence)

Job Description

Apply now

Stay at the forefront of market

Senior Data Engineer (Artificial Intelligence)

Job Description

Apply now

Stay at the forefront
of market