Anaplan

Principal Engineer, AI

Anaplan • $130K — $180K *
US-AnywhereRemote in Pennsylvania, US
Enterprise Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Extensive experience in Artificial Intelligence and Machine Learning.
  • Proven track record in end-to-end model lifecycle development.
  • Deep expertise in LLM APIs and conversational AI.
  • Experience in deploying and fine-tuning LLMs for specific business applications.
  • Proficient in MLOps and ensuring scalable, reliable model deployments.
  • Strong programming skills in Python and modern software practices.
  • Exposure to autonomous agent architectures.

Responsibilities

  • Lead the architecture, design, and deployment of AI systems.
  • Develop end-to-end GenAI features, focusing on APIs and model integrations.
  • Optimize LLMs for business planning tasks through prompt engineering.
  • Create conversational interfaces for accessible planning workflows.
  • Implement frameworks to evaluate and enhance GenAI feature quality.
  • Design APIs to connect AI functionalities with Anaplan’s platform.
  • Enhance model inference pipelines for performance and scalability.
  • Monitor and log GenAI systems to track performance and issues.

Benefits

  • Collaborative work environment with cross-functional teams.
  • Opportunity to lead cutting-edge AI projects in production.
  • Access to ongoing professional development and learning resources.
  • Flexible work arrangements to promote work-life balance.
Full Job Description
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. You9ll 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 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 Anaplan9s 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

Your Qualifications
  • 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

Desirable
  • Advanced degree (Master9s 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)

#LI-SP1

About Anaplan

Anaplan is a cloud-based business planning and performance management platform that enables businesses to manage their financial and operational planning processes. The platform provides a range of solutions, including sales performance management, workforce planning, supply chain planning, and financial planning and analysis. Anaplan's platform is designed to be flexible and scalable, allowing businesses to adapt to changing market conditions and business needs. The company was founded in 2006 and is headquartered in San Francisco, California.
Learn more about Anaplan
Size
14 employees
Market Cap
$9.4 billion
Industry
Enterprise Technology
Net Income
-$153.9 million
Founded
2006
5 Year Trend
+37.5%
Revenue
$447.7 million
NASDAQ
PLAN
* Ladders Estimates

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