Manager Ai & Data Architect (ai Engineer)

pfizer.ch

Hybrid
Cloud-scale data solutions
Production ai capabilities
Snowflake & cloud data ecosystem
The AI & Data Architect Manager designs and delivers cloud-scale data solutions (lake/warehouse/marts/APIs) and production AI capabilities (ML/GenAI/LLM patterns) that are reusable across the enterprise, ensuring strong engineering practices, testability, security, and operational excellence

Job Summary

  • The AI & Data Architect Manager designs and delivers cloud-scale data solutions (lake/warehouse/marts/APIs) and production AI capabilities (ML/GenAI/LLM patterns) that are reusable across the enterprise, ensuring strong engineering practices, testability, security, and operational excellence.
  • This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes.
  • The role partners across Digital and business stakeholders to deliver measurable outcomes, and mentors engineers/contractors to raise technical standards and accelerate delivery.

Matching Summary

The AI & Data Architect Manager designs and delivers cloud-scale data solutions (lake/warehouse/marts/APIs) and production AI capabilities (ML/GenAI/LLM patterns) that are reusable across the enterprise, ensuring strong engineering practices, testability, security, and operational excellence.

Skills & Requirements

Must-have

  • Cloud-scale data solutions
  • Production AI capabilities
  • Snowflake & Cloud Data Ecosystem
  • Cloud-native architectures
  • GenAI & AI/ML solution architecture
  • Engineering excellence & CI/CD
  • Operational reliability & issue resolution

Nice-to-have

  • Agentic/LLM frameworks
  • Pharma/supply chain analytics
  • Container orchestration platforms
  • Cloud governance and security

Key Requirements

  • 4+ years in data engineering/architecture
  • 2+ years delivering GenAI & AI/ML solutions
  • Bachelor’s degree in Computer Science or related field
  • Strong Python engineering & SQL
  • Experience with Snowflake
  • Experience with cloud-native platforms & DevOps
  • Experience building/operating ETL/ELT pipelines
  • Experience implementing enterprise data quality standards
  • Experience delivering GenAI & AI/ML solutions end-to-end
  • Familiarity with LLM concepts and practices
  • Hands-on experience with vector databases
  • Experience working with unstructured data
  • Proven ability to lead/co-lead projects
  • Strong communication skills

Work Rights

Not specified

Tailored Resume

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