Senior Data Engineer - AI

Anaplan • Pennsylvania-Remote, United States, PA

1d

About The Position

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. 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.

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).

Nice To Haves

• 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).

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed