AI & Data Solution Architect
Georgia, United States
USD 140K-216K (estimate) Senior-level Full Time
Tasks
- Architect LLM integration using RAG patterns
- Architect data lake lakehouse data mesh and data fabric
- Collaborate with platform DevOps and cloud engineering teams for automation driven deployments
- Define AI and data architecture strategy and roadmap
- Define data ingestion integration and governance standards
- Define model monitoring evaluation and observability
- Design AI ML and generative AI solution architectures from experimentation to production
- Design cloud based data platforms on GCP AWS and Snowflake
- Establish MLOps and LLMOps frameworks for model lifecycle management
- Identify and prioritize AI and analytics use cases
- Lead architecture for agentic AI workflows
- Lead end to end architecture design for data analytics and AI initiatives
- Provide architectural guidance for responsible and compliant AI adoption
- Provide technical leadership and mentorship
- Provide thought leadership for data analytics and AI architectures
- Recommend emerging technologies and architectural patterns
- Review solution designs and conduct architecture assessments
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | BigQuery | CI/CD | Data Lakehouse | Data Lineage | Data Modeling | Data Quality | Data fabric | Data mesh | Dataflow | Dataproc | Delta Lake | Docker | EMR | Glue | Graph Databases | Hadoop | Iceberg | Kafka | Kubernetes | LLMOps | Lambda | Looker | MLOps | Metadata Management | Parquet | PySpark | PyTorch | Python | RAG | Redshift | S3 | SQL | SageMaker | Scikit-learn | Snowflake | Spark | TensorFlow | Vector Databases | Vertex AI | XGBoost
Education
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