AI Data Architect

Job Title: AI Data Architect

Location: Fort Mill SC

Employment Type: Full Time

About Smart IT Frame:

At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together.

Job Summary

We are seeking an experienced AI Data Architect to design and implement enterprise-scale data architectures that support Artificial Intelligence, Generative AI, Machine Learning, and advanced analytics initiatives.

The ideal candidate will have strong expertise in cloud data platforms, modern data engineering, data modeling, AI/ML data pipelines, and enterprise data governance. The candidate will be responsible for building scalable, secure, and AI-ready data ecosystems that enable intelligent applications and business insights.

Key Responsibilities

• Design and implement scalable enterprise data architectures supporting AI/ML and Generative AI workloads.
• Define data strategies, data models, data integration patterns, and architecture standards.
• Build and optimize data pipelines for structured, semi-structured, and unstructured data.
• Design data platforms supporting RAG (Retrieval-Augmented Generation), vector databases, and LLM-based applications.
• Develop and implement data lakehouse architectures using modern cloud data platforms.
• Establish data governance, data quality, metadata management, lineage, and security standards.
• Collaborate with Data Engineers, AI Engineers, ML Engineers, and business stakeholders.
• Design solutions for real-time and batch data processing.
• Optimize data storage, processing performance, scalability, and cost.
• Define architecture best practices for AI-ready enterprise data platforms.

Required Technical Skills

• Strong experience in Enterprise Data Architecture and Data Engineering.
• Cloud platforms: AWS, Azure, or GCP.
• Data platforms: Snowflake, Databricks, or BigQuery.
• Programming: Python, PySpark, SQL.
• Data processing: Apache Spark, Kafka, Airflow.
• Data architecture: Data Lake, Data Warehouse, Lakehouse, Medallion Architecture.
• AI/ML: Machine Learning pipelines, feature engineering, model integration.
• Generative AI: LLMs, RAG architecture, embeddings, vector databases.
• Data governance: Unity Catalog, Microsoft Purview, metadata management, and data lineage.

Preferred Skills

• Snowflake Cortex AI, Snowpark, Snowflake ML.
• Databricks Mosaic AI, MLflow, Unity Catalog.
• Vector databases such as Pinecone, Weaviate, Milvus, or FAISS.
• Experience integrating enterprise data with LLM applications.
• Knowledge of AWS Bedrock, Azure OpenAI, or Google Vertex AI.
• Experience with enterprise security, access controls, and compliance frameworks.

Regards,

Muraliraja