Senior Ai Context Engineer

Willenbrock Fordertechnik GmbH & Co. KG

Atlanta, GA, USA
Base: $134,250.00 - $179,000.00; bonus/equity: not...
Hybrid
Semantic layers
Certified kpi frameworks
Ai-ready data abstractions
Willenbrock Fordertechnik GmbH & Co. KG is seeking a Senior AI Context Engineer to develop an AI-native, context-aware Enterprise Data Platform. The role demands extensive experience in cloud data engineering, semantic modeling, and collaboration with AI teams

Job Summary

  • Evolve our Enterprise Data Platform into an AI-native, context-aware ecosystem.
  • Design and implement enterprise semantic models and certified KPI layers to ensure trusted, reusable business metrics.
  • Collaborate with AI/ML teams to design reliable grounding strategies for AI applications and agents.

Matching Summary

Match Score: 85

Willenbrock Fordertechnik GmbH & Co. KG is seeking a Senior AI Context Engineer to develop an AI-native, context-aware Enterprise Data Platform. The role demands extensive experience in cloud data engineering, semantic modeling, and collaboration with AI teams.

Salary

Base: $134,250.00 - $179,000.00; Bonus/Equity: Not specified; Benefits: Competitive Compensation and Benefits

Skills & Requirements

Must-have

  • semantic layers
  • certified KPI frameworks
  • AI-ready data abstractions
  • cloud data engineering
  • semantic modeling
  • AI-oriented data platform design
  • enterprise semantic models
  • AI-safe data abstraction layers
  • data contracts and metadata standards
  • batch and real-time streaming data pipelines
  • metadata management capabilities
  • DataOps principles
  • domain-oriented data architecture
  • GCP data platform
  • SQL and Python
  • dimensional modeling
  • lakehouse architectures
  • open-source tech stack
  • metadata management and lineage tracking
  • batch and real-time streaming systems
  • semantic modeling and AI consumption

Nice-to-have

  • architectural thinking
  • cross-functional collaboration
  • Data Mesh architecture
  • domain-driven data architecture
  • AI/LLM integration patterns
  • Retrieval-Augmented Generation (RAG)
  • supply chain background

Key Requirements

  • 10-15+ years of experience
  • Hands-on experience building modern data platforms in GCP
  • Deep expertise in SQL, Python, and data modeling
  • Experience with open-source tech stack
  • Hands-on experience with metadata management
  • Experience building both batch and real-time streaming data systems
  • Strong understanding of semantic modeling
  • Experience with Data Mesh
  • Exposure to AI/LLM integration patterns
  • Supply chain background

Work Rights

Authorized to work in the U.S. without sponsorship

Tailored Resume

Cover Letter