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Anaplan

Senior AI Engineer

Anaplan

Senior AI Engineer developing and deploying Generative AI and Machine Learning systems. Owning architecture and collaborating with teams to build innovative capabilities at Anaplan.

Posted 6/6/2026full-timeRemote • Pennsylvania • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & 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 optimize LLMs for specific business planning use cases, 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.
  • 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.
  • Participate in code reviews, lead technical design discussions, and mentor junior and mid-level engineers.

Requirements

What you’ll need
  • Extensive hands-on experience in AI, ML, or related engineering fields.
  • 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).

Benefits

Comp & perks
  • Competitive salary
  • Flexible working hours
  • Professional development budget
  • Home office setup allowance
  • Global team events

ATS Keywords

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Hard Skills & Tools
Generative AIMachine Learningbackend API servicesmodel integrationmodel monitoringprompt engineeringRAG implementationMLOpsLLMOpsPython
Soft Skills
ownershipmentoringtechnical design discussionscode reviews