AI Architect
Tasks
- Architect AI powered insights from test logs and analytics
- Automate test failure analysis diagnose root cause suggest fixes
- Collaborate on data pipeline strategy and optimization
- Combine test and production data into unified quality intelligence
- Define AI architecture for new product offerings
- Design AI assisted test case generation capabilities
- Evaluate new AI technologies and methodologies
- Integrate AI error reporting with production issue analysis
- Lead ai governance initiatives
- Leverage Google Cloud AI services for model integration
- Provide technical leadership and mentorship for AI implementation
- Translate product requirements into AI solution roadmaps
Perks/Benefits
Skills/Tech-stack
Agent Orchestration | Application Performance Monitoring | Application performance | Artificial Intelligence | BigQuery | Cloud Native | Cloud Native Architecture | Cloud Storage | Cloud platform | Context window | Context window management | Data Pipelines | Data Warehousing | Dataflow | DevOps | Generative AI | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Output Validation | Performance Monitoring | Prompt engineering | Quality Assurance | Scalable System Design | Snowflake | Software testing | System design | Test automation | Vertex AI | Window management
Roles
AI | AI Architect | Architect | Learning Architect | Machine Learning Architect
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