or apply directly on Anaplan's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 14 days Anaplan's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Anaplan's roles list one
- Ghost-job risk at Anaplan
- high 81 stale, 12 reposted of 142 open
- Hiring momentum
- 254 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Anaplan's own greenhouse board since 2026-08-03. Full hiring picture for Anaplan.
About this role
As a Principal AI Engineer at Anaplan, you will lead the architecture and deployment of scalable Generative AI and Machine Learning systems. Your role will involve developing end-to-end AI features, integrating large language models (LLMs), and building user-friendly interfaces that enhance business planning workflows. Collaboration with data scientists and ensuring the quality and performance of AI features will also be key responsibilities.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Anaplan as an employer.
What you need
- Extensive hands-on professional experience in Artificial Intelligence, Machine Learning, or related engineering domains
- End-to-end exposure in model lifecycle development, including experience 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 for scalable model deployments
- Experience with agentic frameworks and autonomous agent architectures
Nice to have
- Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, 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
Worth weighing
- No salary listed
- Focus on Generative AI and Machine Learning may require continuous learning to keep up with rapid advancements in the field
Summarised from Anaplan's posting. Read the full original.
Listed by Anaplan on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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