Senior GenAI Engineer

Confirmed live in the last 24 hours

Anaplan

Manchester, United Kingdom

Hybrid

Posted April 3, 2026

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 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 versatile Senior GenAI Engineer who can work across the full stack of GenAI 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.

This role is flexible in scope, and we welcome candidates at all experience levels. This role is a hybrid position and will require you to be in our Manchester office twice a week.

Your Impact

Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments
Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and 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
Optimize 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 productionize ML models and forecasting algorithms
Write comprehensive tests, including unit tests, integration tests, and prompt regression suites
Participate in code reviews, technical design discussions, and knowledge-sharing sessions
Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption