Senior Machine Learning Engineer

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 are seeking a Senior Machine Learning Engineer to join us as a key founding member of a greenfield team building transformative AI capabilities from the ground up. In this role, you will work across the full stack of Anaplan AI applications, solving unique challenges at the intersection of AI and enterprise software. By experimenting with the latest AI models and collaborating with talented data scientists and product designers, you will build cutting-edge, user-facing AI features that directly impact how global businesses plan and make decisions. Your Impact Contribute to the architecture and take ownership of the design, development, 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. Build cutting-edge 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 . Participate in code reviews, lead technical design discussions, and provide mentorship to junior and mid-level engineers . 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 demonstrated experience deploying and maintaining ML models in production environments. Strong knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Experience in fine-tuning LLMs for domain-specific enterprise applications. Experience with MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments. Worked with agentic frameworks and autonomous agent architectures. Proficiency in Python and modern software development practices (testing, code review, CI/CD). Desirable 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. Experience with model observability tools (LangSmith, W&B, MLflow). Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce,