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Anaplan
Anaplan

Principal Engineer, AI

RemoteUnited States only
Published
Role
AI / ML
Experience
Principal
Employment
Full-time
Company size
Enterprise
Salary not disclosed
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Principal AI Engineer needed to lead architecture, design, and deployment of Generative AI and ML systems. Requires extensive hands-on experience in AI/ML, model lifecycle development, LLM APIs, prompt engineering, MLOps, and Python. Must have a proven track record of delivering complex technical projects.

Core skills

prompt engineeringGenerative AILLMs

Required skills

PythonLLM APIsconversational AIMLOpsLLMOpsagentic frameworksautonomous agent architectures

Optional skills

cloud-native ML infrastructure platformsvector databasesembedding modelsmodel serving frameworksA/B testingexperimentation frameworks for AI featuresmodel observability tools

Required languages

English

What you'll do

  • 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

What they require

  • 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
  • Advanced degree (Master's 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)

Benefits

  • 401(k)
  • US public holidays
  • US health insurance

Anaplan provides a unified planning platform that combines connected data, workflows, deterministic calculations, probabilistic AI, and role-based agents. Its platform supports scenario planning, analysis, collaboration across organizational silos, and predictive and generative insights for business decision-making.

🇺🇸 United StatesSoftwareEnterpriseanaplan.com/
Salary not disclosed