Senior Data Engineer - AI

Anaplan; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Anaplan seeks a Senior Data Engineer to work across the full stack of Anaplan AI applications. You will build transformative AI capabilities from ground up, modelling integration, prompt engineering, data ingestion, transformation, storage and governance for our LLM-based systems.

You will design and implement GenAI features, back-end APIs, embeddings, knowledge graphs and retrieval layers, enabling real-time, data-driven planning decisions at enterprise scale.

Qualifications

• Extensive data engineering experience delivering complex AI projects.
• Hands-on experience shipping AI/ML products in production.
• Practical experience with LLM-based systems: RAG, embeddings and evaluation.
• Hands-on expertise with vector/databases and knowledge graphs.
• End-to-end model lifecycle experience in production environments.
• Strong knowledge of LLM APIs, prompt engineering and conversational AI patterns.
• MLOps/LLMOps for scalable, reliable deployments.
• Python proficiency and modern software development practices.
• Cloud-native ML infrastructure experience.
• Experience with model serving frameworks like vLLM, TensorRT, Ray.
• Background in forecasting, planning or analytics apps.
• Experience with A/B testing and experimentation for AI features.
• Experience with observability tools (LangSmith, W&B, MLflow).

Responsibilities

• Contribute to data architecture and deployment of scalable GenAI/ML systems.
• Develop end-to-end GenAI features including APIs, model integration and monitoring.
• Integrate and optimise LLMs for business planning use cases.
• Design knowledge graphs, retrieval layers and embedding pipelines.
• Support data plane for evaluation and continuous improvement at scale.
• Build feature and context pipelines for forecasting and anomaly detection.
• Create evaluation frameworks for GenAI feature quality (accuracy, latency, user satisfaction).

Skills

Data engineering

AI/ML in production

LLM-based systems

RAG architectures

Vector databases

Knowledge graphs

Model development lifecycle

LLMOps

Python

Cloud-native ML infra

Model serving frameworks

Forecasting/Analytics

AB testing

Model observability

Tools

Pinecone

Weaviate

Qdrant

vLLM

TensorRT

Ray

LangSmith

Weights & Biases

Job description

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.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

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 celebratingour 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, 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. This role requires both a strong foundation in machine learning and excellent data engineering skills, offering a unique opportunity to grow at the intersection of AI and enterprise software.

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 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.

Your Skills

• 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).
• 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).

Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB)

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.