AI System Architect
Tasks
- Advise enterprise technology leadership on AI platform decisions
- Conduct AI impact assessments
- Conduct architecture reviews and resolve technical blockers
- Contribute to AI governance framework updates
- Define AI integration patterns and standards
- Define agent guardrails for security and compliance
- Define enterprise AI integration strategy
- Define non-functional requirements
- Design API event driven architectures and middleware
- Design Workato eMCP layer
- Develop reference architectures and design patterns
- Establish MLOps and LLMOps practices
- Evaluate third party AI tooling and LLM providers
- Maintain AI architecture decision log
- Maintain AI architecture documentation and protocols
- Manage and mentor AI platform engineers
- Monitor shadow AI usage
- Own AI intake approval and sequencing process
- Run architectural reviews for complex workflows
- Set technical standards for citizen development
- Translate AI governance into runtime controls
Perks/Benefits
- N/A
Skills/Tech-stack
API Security | Access Control | Agentic AI | Anomaly Detection | Audit Logging | Azure Integration | Azure Integration Services | Boomi | Document processing | ELT | ETL | Event Streaming | GDPR | GraphQL | Integration Services | Intelligent Document Processing | Jira | LLM integration | LLMOps | Language Processing | MLOps | Machine Learning | Model versioning | MuleSoft | Natural Language | Natural Language Processing | Netsuite | OAuth2 | Observability | Predictive Analytics | REST APIs | Role-Based Access | Role-Based Access Control | SOC 2 | Salesforce | Security Compliance | Token Management | Webhooks | Workato
Education
N/A
Roles
AI | AI System Architect | Architect | Enterprise Architect | System Architect
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