Senior AI Platform Architect

Anaplan

Manchester

Hybrid

GBP 120.000 - 160.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Anaplan is seeking a senior architect to lead the Predictive Intelligence engineering team. You will own the architecture for forecasting and ML services powering our platform across multiple verticals, collaborating with product, data science, and platform teams.

You will mentor senior engineers, drive multi-cloud deployment on Kubernetes, and establish scalable, observable systems with strong engineering practices. This is a hands-on, leadership role at scale.

Qualifikationen

  • Experience in software engineering at architect level and owning systems at scale.
  • Deep Python expertise and production ML service design.
  • Experience with data/analytics platforms (Snowflake, Iceberg, Trino, Postgres).
  • Strong Kubernetes and multi-cloud (AWS/GCP/Azure) experience.
  • MLOps tooling, model registries, and CI/CD experience.

Aufgaben

  • Define and execute the architectural strategy for predictive intelligence services.
  • Lead cross-team alignment and establish common platform primitives.
  • Provide design and implementation leadership for features and platform initiatives.
  • Define MLOps strategy across training, deployment, monitoring, lifecycle.
  • Mentor engineers and collaborate with data scientists and product leadership.
  • Represent AI engineering in technical reviews with external teams.

Kenntnisse

Python
Architectural leadership
Kubernetes
MLOps
Cloud platforms (AWS/GCP/Azure)
Communication

Ausbildung

Bachelor’s degree in Computer Science or related field

Tools

Snowflake
Iceberg
Trino
Postgres
AWS
GCP
Azure

Jobbeschreibung

Anaplan is seeking a senior architect to lead the Predictive Intelligence engineering team. You will own the architecture for forecasting and ML services powering our platform across multiple verticals, collaborating with product, data science, and platform teams.

You will mentor senior engineers, drive multi-cloud deployment on Kubernetes, and establish scalable, observable systems with strong engineering practices. This is a hands-on, leadership role at scale.

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