Senior Solution Architect - Data & AI
Tasks
- Automate model training and deployment
- Build GenAI applications
- Build cloud data platforms
- Build data pipelines
- Conduct presales solutioning
- Create proof of concepts
- Define data mesh and data fabric architectures
- Deliver technical demos
- Design scalable data solutions
- Develop AI and machine learning models
- Develop lakehouse data systems
- Engineer prompts and fine-tune models
- Ensure data quality and observability
- Gather business requirements
- Implement AI agent workflows
- Implement MLOps CI CD workflows
- Implement data governance frameworks
- Implement rag pipelines
- Integrate vector databases
- Manage metadata and data lineage
- Monitor model performance
- Operationalize ML pipelines
- Orchestrate multi-agent systems
- Respond to RFP and RFI
- Run solution workshops
- Support proposal development
- Translate business requirements to technical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | Airflow | Alation | Amazon SageMaker | Autogen | Azure ML | Azure OpenAI | CI/CD | Cloudera CDP | Collibra | Computer Vision | CrewAI | DBT | Data fabric | Data mesh | Databricks | Delta Lake | Distributed Systems | Fine Tuning | Google BigQuery | Google Cloud | Informatica | Kafka | Kubeflow | Lakehouse | Langchain | Llamaindex | MLflow | Microsoft Fabric | Microsoft Purview | Milvus | NLP | Neural Networks | Pinecone | Prompt engineering | RAG | Recommendation Systems | Redis Vector | Snowflake | Spark | Transformers | Unity Catalog | Vertex AI | Weaviate
Education
N/A
Roles
AI | AI Architect | Architect | Data Architect | Solution Architect
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