AI Solutions Architect
Tasks
- Collaborate with customer stakeholders on scope priorities deliverables risks and timelines
- Deploy applications using Linux Docker and Kubernetes
- Design graph and generative AI solutions
- Develop, test, and deploy AI applications
- Evaluate improve performance scalability and efficiency
- Integrate graph databases with LLMs
- Model data and design graph queries
- Share best practices through workshops training and documentation
- Translate business objectives into AI solutions
Perks/Benefits
Skills/Tech-stack
AWS | AWS Bedrock | Azure | Azure Machine Learning | C Sharp | Cloud Computing | Cypher | Data Modeling | Docker | Fine Tuning | Git | Google Cloud | Graph Databases | Graph querying | Hadoop | Haystack | Hive | Java | JavaScript | Kubernetes | LLM integration | LLM orchestration | Langchain | Language Models | Large Language Models | Linux | Llamaindex | Machine Learning | Neo4j | NoSQL | Prompt engineering | Python | SQL | SVN | Spark | Vertex AI
Education
N/A
Regions
Countries
States
Cities
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