AI Architect – Generative AI & Data Modeling

#Hiring# #C2C# Job Title: AI Architect – Generative AI & Data Modeling Location: Remote Role Overview We are seeking a highly experienced AI Architect to lead the design and implementation of enterprise-scale Generative AI (GenAI) and Retrieval-Augmented Generation (RAG) platforms. This role requires strong expertise in data modeling, architecture, and governance, along with the ability to engage directly with clients as a trusted advisor. You will define the end-to-end architecture, drive advanced data strategies, and ensure scalable, secure, and high-quality AI solutions aligned with business objectives. Architecture & Data Modeling Design and own enterprise architecture for GenAI and RAG platforms Lead data modeling initiatives, including extending Medallion Architecture (Bronze, Silver, Gold layers) Ensure data is cleansed, standardized, and optimized for AI, analytics, and embedding workflows Define end-to-end data lineage across ingestion, transformation, vectorization, and AI outputs Data Governance & Quality Establish enterprise-wide data governance frameworks, policies, and standards Design systems to detect data drift, hallucinations, and low-confidence outputs Implement quality gates and fallback mechanisms to ensure trusted AI responses Align technical solutions with regulatory, compliance, and Responsible AI requirements Leadership & Collaboration Provide architectural leadership and mentorship to engineering and data teams Collaborate with security, platform, and data engineering teams for seamless delivery Define best practices for MLOps, CI/CD pipelines, monitoring, and observability Drive innovation and continuous improvement across AI platforms Required Qualifications 12–15+ years of experience as a Data Architect, AI Architect, or Solution Architect Strong expertise in Data Modeling and Data Engineering Hands-on experience with Medallion Architecture and modern data platforms Proven experience designing GenAI and RAG-based solutions in production environments Deep knowledge of data governance, lineage, and data quality frameworks Experience with cloud platforms: Azure, AWS, or GCP (Azure preferred) Strong understanding of distributed systems, API design, and MLOps practices Excellent client-facing, consulting, and communication skills Preferred Qualifications Experience with Azure AI Services, OpenAI, or similar LLM platforms Knowledge of vector databases and embedding pipelines Familiarity with Responsible AI, security, and compliance frameworks Please share resume at [Upgrade to PRO to see contact]