Senior Data Engineer

Company: Anaplan

Location: Not Specified

About Anaplan

Anaplan is a leader in AI-infused scenario planning and analysis, optimizing business decision-making for Fortune 50 companies like Coca-Cola, LinkedIn, and Adobe. Our platform enables customers to outpace the competition. We foster a "Winning Culture" that champions diversity, leadership, ambitious goals, and celebrating wins. We operate with a strategy-led, values-based, and disciplined execution approach.

About the Role

We are 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. This role contributes to the technical direction for how we ingest, transform, store, serve, and govern the data powering our LLM-based and agentic systems. You will build real-time, user-facing AI features that directly shape business planning and decision-making, demanding strong machine learning expertise paired with data engineering skills.

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 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 building and shipping AI/ML products in production.
• Practical experience with LLM-based systems: RAG architectures, embedding pipelines, prompt and response logging, and evaluation frameworks.
• Hands-on expertise with vector databases, graph databases, and knowledge graphs.
• End-to-end exposure to the model development lifecycle, including experience training and deploying ML models in production environments.
• Solid knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
• Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments.
• Proficiency in Python and modern software development practices (testing, code review, CI/CD).

Desirable

• Hands-on experience with cloud-native ML infrastructure platforms.
• Knowledge of vector databases (e.g., Pinecone, Weaviate, Qdrant) and embedding models.
• Experience with model serving frameworks (e.g., vLLM, TensorRT, Ray).
• Background in forecasting, planning, or analytics applications.
• Experience with A/B testing and experimentation frameworks for AI features.
• Experience with model observability tools (e.g., LangSmith, W&B, MLflow).

#LI-SP1

Our Commitment to DEIB

Anaplan believes in fostering an inclusive culture where diversity drives innovation. We are committed to a hiring and working environment where all people are respected and valued. We hire you for who you are, and we want you to bring your authentic self to work every day!

Reasonable accommodations are available for individuals with disabilities during the application and interview process.