Senior Data Engineer – AI

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🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Anaplan

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

☁️ SaaS

🏢 Enterprise

💸 Finance

💰 Secondary Market on 2018-03

SaaS • Enterprise • Finance

Anaplan is a leading provider of connected planning and business modeling solutions. The platform enables organizations to transform their decision-making processes using intelligent planning, data management, and predictive insights. Anaplan serves a diverse range of industries, including consumer goods, financial services, and manufacturing, by offering tailored solutions that enhance productivity and drive digital transformation. Recognized by Gartner, Forrester, and IDC, Anaplan is a trusted partner for enterprises looking to improve collaboration and gain a competitive edge through agile and comprehensive planning tools.

📋 Description

• Build transformative AI capabilities from the ground up, including model integration and prompt engineering. • Contribute to the technical direction for how we ingest, transform, store, serve, and govern the data that powers our LLM-based and agentic systems. • Build real-time, user-facing AI features that directly shape business planning and decision-making. • 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.

🎯 Requirements

• 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).

🏖️ Benefits

• Health insurance • Flexible working arrangements • Professional development opportunities