Business Systems & AI Architect
Tasks
- Assess current technology stack
- Centralize SaaS and internal data
- Create data models and governance
- Define AI orchestration patterns
- Define data platform and data warehouse strategy
- Define integration patterns APIs and events
- Define security scalability and maintainability standards
- Define target architecture principles
- Design end-to-end system architectures
- Drive migration from legacy systems
- Embed AI into business workflows
- Enable real time and batch data flows
- Enable single source of truth
- Engage stakeholders for requirements
- Ensure interoperability across business systems
- Establish lightweight governance standards
- Identify and implement AI use cases
- Lead modernization to AI enabled architecture
- Power AI models with data platform
- Translate business challenges into reusable designs
Perks/Benefits
- Bereavement leave
- Company paid bank holidays
- Flexible hours
- Free training platforms
- Health insurance
- Hybrid work model
- Paid Maternity Leave
- Paid paternity leave
- Paid sick days
- Personal accident insurance
- Unlimited paid time off
- Volunteering days
Skills/Tech-stack
AI/ML | API Design | Access Management | Azure AI | Cloud Computing | Conditional Access | Copilot | Data Governance | Data Modeling | Data Pipelines | Data Warehousing | ELT | ETL | Enterprise Architecture | Event Driven | Event-driven architecture | Identity and Access Management | Identity and access | Integration Architecture | LLM | LLM Agents | Language Processing | Machine Learning | Microsoft Azure | Middleware | MuleSoft | Natural Language | Natural Language Processing | Real Time | Real-time Data | SCIM | SSO | SaaS | Security Compliance
Education
N/A
Roles
AI | AI Architect | Architect | Business Systems | Business Systems Architect | Systems Architect
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