Principal Engineer, AI

🕒 June 5

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Anaplan

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

☁️ SaaS

🏢 Enterprise

💸 Finance

💰 Secondary Market on 2018-03

SaaS • Enterprise • Finance

Anaplan is a leading provider of connected planning and business modeling solutions. The platform enables organizations to transform their decision-making processes using intelligent planning, data management, and predictive insights. Anaplan serves a diverse range of industries, including consumer goods, financial services, and manufacturing, by offering tailored solutions that enhance productivity and drive digital transformation. Recognized by Gartner, Forrester, and IDC, Anaplan is a trusted partner for enterprises looking to improve collaboration and gain a competitive edge through agile and comprehensive planning tools.

📋 Description

• 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 optimize LLMs for specific business planning use cases, 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 behavior. • Collaborate with data scientists to productionise ML models and forecasting algorithms

🎯 Requirements

• 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 in 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.

🏖️ Benefits

• 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.