AI & Data Solution Architect
USD 96K-192K Senior-level Full Time
Tasks
- Architect enterprise data and analytics solutions
- Build lakehouse and data lake architectures
- Collaborate with platform DevOps and cloud engineering teams
- Conduct architecture assessments and provide recommendations
- Define AI and data architecture strategy and roadmap
- Define data ingestion integration patterns
- Design AI ML and generative AI solution architectures
- Design cloud-based data platforms
- Ensure model observability explainability and bias mitigation
- Govern data quality metadata lineage and access control
- Implement RAG based LLM integrations
- Lead MLOps and LLMOps frameworks for production models
- Provide technical leadership and mentorship
Perks/Benefits
- Bereavement leave
- Dependent care spending account
- Health care spending account
- Health savings account
- Life insurance
- Long-term disability
- Medical/Dental/Vision
- Paid Holidays
- Paid personal leave
- Paid sick days
- Paid vacation days
- Parental leave
- Purchased vacation
- Retirement benefits
- Short-term disability
- Tuition assistance
- Wellness incentives
Skills/Tech-stack
AWS Glue | AWS Lambda | Access Control | Amazon EMR | Amazon Redshift | Amazon S3 | Amazon SageMaker | Amazon Web Services | Apache Iceberg | Apache Kafka | Apache Spark | Bias detection | BigQuery | CI/CD | Cloud platform | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Quality | Data fabric | Data mesh | Dataflow | Dataproc | Delta Lake | Docker | Explainable AI | Generative AI | Google Cloud | Google Cloud Platform | Graph Databases | Hadoop | Kubernetes | LLMOps | Lakehouse | Language Models | Large Language Models | Looker | MLOps | Machine Learning | Medallion Architecture | Model Observability | Parquet | PySpark | Python | Retrieval-Augmented Generation | SQL | Snowflake | Vector Databases | Vertex AI | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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