Principal Engineer, AI

Company: Anaplan
Location: [Location Not Specified]
Employment Type: Full Time

About Anaplan:
Anaplan is a leader in AI-infused scenario planning and analysis, empowering businesses to optimize decision-making and outpace the competition. Our platform is trusted by over 2,400 global companies, including Fortune 50 leaders like Coca-Cola, LinkedIn, and Adobe. We foster a Winning Culture that champions diversity, leadership, ambitious goals, and celebrating wins.

Your Impact:
We are seeking a Principal Engineer, AI to work across the full stack of Anaplan AI applications. You will build production-ready AI features that empower business users within their planning workflows, requiring deep ML knowledge and strong software engineering skills.

Responsibilities:

• Lead the architecture, design, and deployment of scalable Generative AI and Machine Learning systems.
• Develop end-to-end GenAI features, including backend API services, model integration, monitoring, and deployment.
• Integrate and optimize LLMs for specific business planning use cases, including prompt engineering and RAG implementation.
• Build conversational interfaces and agentic workflows for natural language interaction.
• Implement evaluation frameworks to measure and improve GenAI feature quality (accuracy, latency, user satisfaction).
• Design and develop APIs to expose AI capabilities to Anaplan's platform and third-party integrations.
• Optimize model inference pipelines for performance, cost, and scalability.
• Implement monitoring, logging, and observability for GenAI systems.
• Collaborate with data scientists to productionize ML models and forecasting algorithms.

Your Qualifications:

• Extensive hands-on professional experience in Artificial Intelligence, Machine Learning, or related engineering domains.
• End-to-end exposure in model lifecycle development, including training and deploying ML models in production.
• 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 for scalable, reliable 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.

Desirable:

• Advanced degree (Master’s or Ph.D.) in Computer Science, AI, ML, or a 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 DEIB:
Anaplan is committed to attracting and retaining the best talent and fostering an inclusive culture. We believe DEIB strengthens our business, enhances trust, and drives success. We welcome diversity of thought and background, and encourage you to bring your authentic self to work. We provide reasonable accommodation for individuals with disabilities in the application and hiring process.