Job Summary:
Gerber Collision & Glass is a leader in collision repair services, and they are seeking a Data & AI Architect to accelerate their AI maturity and optimize their data ecosystem. This role involves defining and implementing foundational elements for AI adoption and collaborating with stakeholders to develop a coherent AI & data strategy.
Responsibilities:
• In collaboration with Head of Enterprise Architecture, Data Engineering and BI to develop and execute AI & Data Strategy, in ensuring technical goals align with broader business objectives.
• Build and maintain a multi-year AI/Data Roadmap, identifying key milestones for capability maturity, tool adoption, and infrastructure upgrades.
• Design and implement architectural patterns for Generative AI, including Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and Agentic AI frameworks.
• Explore the impact of AI on the software lifecycle, including AI-driven testing and emerging trends like 'Vibe Coding' to accelerate development velocity.
• Lead Proof-of-Concept projects to evaluate new AI tools and techniques, moving successful experiments into production-ready environments.
• Help define the evolution of the Data Platform architecture (AWS data ecosystem - S3, Lake Formation, Redshift, Airflow, Lambda) to ensure it is performant and 'AI-ready.'
• Define and enforce best practices for AI security, prompt engineering standards, and the ethical use of machine learning models.
• Design scalable ETL/ELT pipelines and data modeling strategies that support both real-time AI needs and historical BI reporting.
• Oversee the architectural health of our BI layers (e.g., Domo) to ensure dashboards and self-service analytics are powered by clean, governed data.
Qualifications:
Required:
• AI Expertise: 2–3 years of hands-on experience with AI/ML implementations, focusing on GenAI patterns and LLM orchestration.
• Data Engineering: 5+ years of experience in data architecture or engineering, with deep knowledge of data warehousing, lakehouses, and distributed processing.
• Cloud & Tools: Strong proficiency in the AWS Data Stack, Python, and SQL.
• Collaborative Execution: Ability to work with engineering teams to build the 'plumbing' while working with business stakeholders to deliver the 'intelligence.'
• Industry Knowledge: awareness of the top AI solution providers and the rapidly evolving ecosystem of LLM providers and AI startups.
• Advanced AI Patterns: Familiarity with AI-driven Software Development Life Cycle (SDLC) enhancements and testing automation.
• Data & BI Ecosystem: Knowledge of leading platforms beyond the core stack, including: Data Platforms: Snowflake, Databricks, or Azure Data Lake, BI Tools: Power BI, Tableau, or Qlik.
• Emerging Trends: Understanding of the shift toward natural language programming/orchestration (e.g., Vibe Coding) and standardized context sharing (MCP).
Preferred:
• Strategic Influence: You won't just execute; you will help the Head of EA build the foundational strategy and roadmap for the entire department.
• Innovation-First: You are encouraged to stay at the forefront of AI, implementing cutting-edge protocols like MCP and Agentic systems.
• Career Growth: This role offers a direct path to senior architectural leadership through high-visibility projects and executive-level collaboration.
Company:
Gerber Collision & Glass provides quality auto collision and glass repair services. Founded in 1937, the company is headquartered in Elmhurst, USA, with a team of 5001-10000 employees. The company is currently Late Stage.