Data & AI Architect
Core
Define and implement foundational elements for AI adoption, including architecture patterns (Gen-AI, RAG, MCP, Agentic workflows), tooling, process, and governance to optimize the data ecosystem.
Role type
Senior IC Data & AI Architect
Builds
High-performance Data & BI platforms and AI-ready infrastructure
Domain
Insurance/Automotive collision services + Generative AI & Data Engineering
Deliverable
production ML models | infrastructure
Required skills
GenAI patterns (RAG, MCP, Agentic workflows), LLM orchestration, data warehousing, lakehouses, distributed processing, AWS Data Stack, Python, SQL, ETL/ELT pipeline design, BI layer architecture
Preferred skills
Strategic roadmap development, executive-level collaboration, emerging AI trends (Vibe Coding), natural language programming
Technologies
AWS (S3, Lake Formation, Redshift, Airflow, Lambda), Snowflake, Databricks, Azure Data Lake, Power BI, Tableau, Qlik, Domo
Responsibilities
Develop and execute AI & Data Strategy aligned with business objectives; Build and maintain multi-year AI/Data Roadmap; Design and implement architectural patterns for Generative AI; Lead Proof-of-Concept projects to evaluate new AI tools; Define and enforce best practices for AI security and ethical ML use; Design scalable ETL/ELT pipelines and data modeling strategies; Oversee architectural health of BI layers
Seniority
Senior, hands-on IC with strategic influence