AI Innovation Architect
Tasks
- Build automation pipelines and workflows
- Define AI platform architecture vision
- Define technical standards and integration frameworks
- Design and implement AI/ML capabilities
- Develop AI demos proofs of value accelerators
- Ensure high availability and scalability
- Establish secure scalable high performance systems on cloud
- Evaluate emerging AI/ML technologies
- Evaluate model performance
- Implement guardrails for AI systems
- Implement real time monitoring for actionable insights
- Manage data ingestion and model lifecycle
- Mentor engineering teams and foster innovation
- Optimize platform performance and cost-efficiency
- Translate business needs into architectural designs
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | Appian | Artificial Intelligence | Automation | Azure | Camunda | Cloud Migration | Cost Optimization | CrewAI | Data Ingestion | Distributed Systems | Google Cloud | High Availability | LLM | Langchain | Language Processing | Lifecycle Management | Machine Learning | Model Lifecycle | Model Lifecycle Management | N8n | Natural Language | Natural Language Processing | Pega | Prompt engineering | Pydantic | Real Time | Real-time monitoring | Retrieval-Augmented Generation | Scalability | System Architecture | Workflow Orchestration
Education
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