Principal Data Engineer

About the Role

We're seeking a versatile Principal Data Engineer who can work across the full stack of Anaplan AI applications, from model integration, prompt engineering and set the technical direction for how we ingest, transform, store, serve, and govern the data that powers our LLM-based and agentic systems. You'll build AI features that can be used in real-time. This will help business users use GenAI in their planning workflows.

You'll need both deep knowledge of machine learning and strong data engineering skills.

• Design and build the retrieval layer powering RAG and agentic workloads—including vector and graph databases, hybrid search, and architecting knowledge graphs that capture the semantics of customer models.
• Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments
• Engineer feature and context pipelines balancing batch and streaming patterns to feed forecasting and anomaly‑detection models, collaborating closely with data scientists to product ionise algorithms.
• Build the data plane for evaluation , implementing rigorous frameworks to continuously monitor, measure, and improve GenAI feature quality, accuracy, latency, and user satisfaction. ,
• Collaborate with data scientists to product ionise ML models and forecasting algorithms

• Extensive background in Data Science Engineering, with a clear track record of principal‑level technical leadership.
• Hands‑on experience building and shipping AI/ML products in production
• Deep practical experience with LLM‑based systems: RAG architectures, embedding pipelines, prompt and response logging, evaluation frameworks.
• Hands‑on expertise with vector databases, graph databases, and knowledge graphs
• End‑to‑end exposure in model lifecycle development, including extensive experience training and deploying ML models in production environments.
• Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
• Proficiency in Python and modern software development practices (testing, code review, CI/CD).

• Hands‑on experience with cloud‑native ML infrastructure platforms
• Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models
• Experience with model serving frameworks (vLLM, Tensor
  
  RT, Ray)
• Familiarity with Anaplan or similar enterprise planning platforms
• Experience with A/B testing and experimentation frameworks for AI features
• Experience with model observability tools (Lang Smith, W&B, MLflow)

We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader.

We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.