Principal AI Engineer

Anaplan; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Anaplan, a leader in AI-infused scenario planning, is seeking a Principal Engineer, AI, to drive end-to-end GenAI features across model integration, backend services, and UI interfaces. You will lead scalable architecture and production deployment for business planning use cases in London.

You will collaborate with data scientists and engineers to productionize models, optimize inference, and implement observability, monitoring, and evaluation frameworks for GenAI features.

Qualifications

• Extensive hands-on experience in AI/ML or related engineering domains.
• End-to-end model lifecycle experience from training to production.
• Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
• Experience fine-tuning LLMs for domain-specific enterprise apps.
• Strong MLOps and LLMOps expertise ensuring scalable deployments.
• Experience with agentic frameworks and autonomous architectures.
• Proficiency in Python and modern software practices (CI/CD, testing).
• Track record delivering complex projects on time with quality.
• Advanced degree in a quantitative field (MS/PhD).
• Hands-on with cloud-native ML platforms and infrastructure.
• Knowledge of vector databases and embedding models.
• Experience with model serving frameworks (vLLM, TensorRT, Ray).
• Familiarity with A/B testing and experimentation for AI features.
• Contributions to open-source ML or publications.
• Experience with observability tools (LangSmith, W&B, MLflow).

Responsibilities

• Lead architecture, design, and deployment of scalable Generative AI and ML systems into production.
• Develop end-to-end GenAI features including backend services, model integration, monitoring and deployment.
• Integrate and optimize LLMs for enterprise planning use cases and prompt engineering.
• Build conversational interfaces and autonomous agent workflows for planning tasks.
• Implement evaluation frameworks to measure GenAI quality (accuracy, latency, user satisfaction).
• Design APIs exposing AI capabilities to Anaplan's platform and third-party integrations.
• Optimize inference pipelines for performance, cost, and scale.
• Implement monitoring, logging, and observability for GenAI systems.
• Collaborate with data scientists to productionize ML models and forecasting algorithms.

Skills

AI/ML

LLMs

Python

MLOps

Cloud-native

Prompt engineering

Data pipelines

CI/CD

LangSmith

Weaviate

Pinecone

vLLM

TensorRT

Ray

Experimentation

Education

Master's or Ph.D. in CS/AI/ML or related field

Tools

vLLM

TensorRT

Ray

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!

Role Summary

We're seeking a Principal Engineer, AI, who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills.

Your Impact

• Lead the 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, RAG implementation
• Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language
• Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics
• Design and develop APIs that expose AI capabilities to Anaplan's platform and third‑party integrations
• Optimise model inference pipelines for performance, cost, and scalability in production environments
• Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour
• Collaborate with data scientists to productionise ML models and forecasting algorithms

Your Skills

• Extensive hands‑on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains.
• 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.
• Experience in fine‑tuning LLMs for domain‑specific enterprise applications.
• Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments.
• Experience with agentic frameworks and autonomous agent architectures.
• Proficiency in Python and modern software development practices (testing, code review, CI/CD).
• Proven track record of delivering complex technical projects on time with high quality
• Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a strongly related quantitative field
• 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, TensorRT, Ray)
• Experience with A/B testing and experimentation frameworks for AI features
• Contributions to open‑source ML projects or research publications
• Experience with model observability tools (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.