Manager Ai & Data Architect (ai Engineer)

pfizer.hu

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.
  • Lead data modeling and engineering across advanced data platforms to achieve digital outcomes, including solution designs for Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs, with ownership of enterprise data quality standards across structured, semi‑structured, and unstructured data domains.
  • Stay current on AI/ML advancements and apply them to enterprise initiatives; identify reusable components and patterns that accelerate delivery across teams, including unstructured data processing and vector‑based retrieval approaches, that accelerate delivery across teams.

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 implementation
  • CI/CD, Testing & Data Validation
  • Operational Reliability & Issue Resolution

Nice-to-have

  • Agentic/LLM frameworks
  • Enterprise GenAI patterns
  • Pharma/supply chain analytics
  • Container orchestration at scale

Key Requirements

  • 4+ years in data engineering/architecture
  • 2+ years delivering GenAI & AI/ML solutions
  • Bachelor’s degree (Master’s preferred)
  • Strong Python engineering & SQL
  • Snowflake experience
  • Cloud architecture for data platforms
  • Experience with vector databases

Work Rights

Not specified

Tailored Resume

Cover Letter