AI Platform Architect
Minor Hotels Europe and Americas
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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About the role
- Design and govern next-generation AI and machine-learning platforms that power core insurance functions such as underwriting, pricing, claims, fraud detection, and customer engagement
- Define the High-Level Design (HLD) and Low-Level Design (LLD) for the end-to-end platform driving integration with enterprise systems
- Architect and guide implementation of Databricks workspace setup, clusters, Unity Catalog, Delta Lake workflows, and model serving
- Lead the integration of the platform with key internal systems such as Radar EDP and other applications
- Work closely with engineering teams, product owners, data scientists, and security teams to align technical design with business goals
Requirements
- Strong blend of cloud architecture, data engineering, and AIML platform experience
- Ability to translate business requirements into scalable and secure technical solutions
- Define and own the HLD and LLD documentation for the AI platform on AWS and Databricks
- Design scalable, secure, and cost-optimized architectures for data processing, feature engineering, model training, and inference pipelines
- Establish standards, patterns, and best practices for platform components including Lakehouse architecture, MLOps, and data governance
- Strong expertise with Databricks, Delta Lake, Unity Catalog, MLflow Workflows
- Proficiency in Python, SQL and familiarity with CI/CD, Terraform/IaC is a plus
Benefits
- Employee wellbeing as a critical component for achieving organisational ambitions
- Trained ‘Mental Health Champions’ across business areas
- Access to wellbeing apps such as Thrive and Peppy
- Countless training and development opportunities from thinktanks to hackathons
- Access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
cloud architecturedata engineeringAI platformHigh-Level Design (HLD)Low-Level Design (LLD)data processingfeature engineeringmodel traininginference pipelinesMLOps
Soft Skills
translate business requirementsalign technical design with business goals