AI & Data Solution Architect
USD 96K-192K Senior-level Full Time
Tasks
- Architect cloud-based data platforms
- Collaborate with platform and DevOps teams
- Define AI data architecture strategy
- Define MLOps and LLMOps frameworks
- Define data ingestion and integration patterns
- Design AI ML and Generative AI architectures
- Design enterprise data analytics solutions
- Design lakehouse data platforms
- Enforce data quality metadata lineage access control
- Establish model monitoring evaluation observability
- Implement LLM RAG patterns
- Lead architecture assessments and impact analysis
- Mentor data and AI engineering teams
- Provide architecture guidance for responsible AI
- Review solution designs and recommend optimizations
Perks/Benefits
- Dental insurance
- Health insurance
- Health savings account
- Life insurance
- Paid sick days
- Paid vacation
- Parental leave
- Retirement benefits
- Tuition assistance
- Vision insurance
- Wellness incentives
Skills/Tech-stack
AWS | Access Control | BigQuery | CI/CD | Cloud Architecture | Cloud platform | Data Architecture | Data Governance | Data Lineage | Data Modeling | Data Quality | Data fabric | Data mesh | Dataflow | Dataproc | Delta Lake | Docker | EMR | Generative AI | Glue | Google Cloud | Google Cloud Platform | Graph Databases | Hadoop | Iceberg | Kafka | Kubernetes | LLMOps | Lakehouse | Lambda | Language Models | Large Language Models | Looker | MLOps | Machine Learning | Medallion Architecture | Metadata Management | Parquet | PySpark | PyTorch | Python | Redshift | Retrieval-Augmented Generation | S3 | SQL | SageMaker | Scikit-learn | Snowflake | TensorFlow | Vector Databases | Vertex AI | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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