Data & AI Architect
Job Summary
The AI & Data Architect is a high-impact role responsible for accelerating AI maturity and optimizing the data ecosystem.
Key Job Responsibilities
Strategy, Roadmap & Innovation Strategy: Develop and execute AI & Data Strategy, ensuring technical goals align with broader business objectives.
Roadmap Development: Build and maintain a multi-year AI/Data Roadmap, identifying key milestones for capability maturity, tool adoption, and infrastructure upgrades.
AI Solution Design: Design and implement architectural patterns for Generative AI, including Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and Agentic AI frameworks.
Innovation & Modern DevEx: Explore the impact of AI on the software lifecycle, including AI-driven testing and emerging trends like "Vibe Coding" to accelerate development velocity.
Prototyping & PoCs: Lead Proof-of-Concept projects to evaluate new AI tools and techniques, moving successful experiments into production-ready environments.
Data Platform & Governance: Help define the evolution of the Data Platform architecture, ensuring it is performant and "AI-ready."
Architecture Governance: Define and enforce best practices for AI security, prompt engineering standards, and the ethical use of machine learning models.
Pipeline Architecture: Design scalable ETL/ELT pipelines and data modeling strategies that support both real-time AI needs and historical BI reporting.
Bi Optimization: Oversee the architectural health of our BI layers (e.g., Domo) to ensure dashboards and self-service analytics are powered by clean, governed data.
Minimum Education And/or Experience Required For The Job
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."
Preferred Education And/or Experience
Strategic Influence: Help the Head of EA build the foundational strategy and roadmap for the entire department.
Innovation-First: Implement cutting-edge protocols like MCP and Agentic systems.
Career Growth: Direct path to senior architectural leadership through high-visibility projects and executive-level collaboration.
Benefits That Drive Your Success
Annual Paid Time Off (PTO) plans
2 weeks of Paid Parental Leave for Full time Employees who work a minimum of 30 hours per week
6 paid holidays annually
Medical, Prescription Drug, Dental & Vision Insurance effective Day 1
401(k) Retirement Plan with company match
Employer Paid Short-Term Disability & Life Insurance
Additional Voluntary Life Insurance
Continuing Education Opportunities
Free prescription or non prescription safety glasses each year
Annual Voluntary Uniform Stipend
About Us
Gerber Collision & Glass has been WOWing customers with our collision repair services for over 80 years.
AI Disclosure Statement
At The Boyd Group and all affiliated companies, we do not use artificial intelligence (AI) or automated tools to screen, assess, or select applicants for employment. All hiring decisions are made by real people who review each application individually.
Compensation Details
$145,000 - $160,000 / Year
Compensation is commensurate with skill, education and experience. This position may also be eligible for Bonus opportunities tied to individual or business initiatives.