AI & Data Solution Architect
USD 96K-192K Senior-level Full Time
Tasks
- Architect RAG based LLM solutions
- Architect cloud-based data platforms
- Collaborate with cloud and DevOps teams on deployments
- Communicate technical concepts to executive stakeholders
- Conduct architecture assessments and impact analysis
- Define AI and data architecture strategy
- Define data ingestion and integration patterns
- Define model observability explainability bias detection
- Design AI ML and generative AI solutions from prototype to production
- Design Lakehouse and Data Mesh architectures
- Enforce data quality metadata lineage access control
- Establish MLOps and LLMOps frameworks
- Lead enterprise data and AI solution design
- Provide technical leadership and mentorship
Perks/Benefits
- Disability insurance
- Health care benefits
- Life insurance
- Paid Holidays
- Paid sick days
- Paid vacation
- Retirement benefits
- Tuition assistance
Skills/Tech-stack
AWS Glue | AWS Lambda | Access Control | Amazon EMR | Amazon Redshift | Amazon S3 | Amazon SageMaker | Amazon Web Services | Apache Spark | CI/CD | Cloud platform | Data Lakes | Data Lineage | Data Modeling | Data Quality | Data fabric | Data mesh | Delta Lake | Docker | Generative AI | Google BigQuery | Google Cloud | Google Cloud Platform | Google Dataflow | Google Dataproc | Google Vertex | Google Vertex AI | Graph Databases | Hadoop | Iceberg | Kafka | Kubernetes | LLMOps | Lakehouse | Language Models | Large Language Models | Looker | MLOps | Machine Learning | Medallion Architecture | Metadata Management | Parquet | PySpark | PyTorch | Python | RAG | SQL | Scikit-learn | Security | Snowflake | TensorFlow | Vector Databases | Vertex AI | Web Services | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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