AI SEAL (AI Solutions Engineer) Integration, Data & Analytics
Tasks
- Build production AI capabilities
- Design data pipelines and semantic layers
- Design evaluation harnesses
- Develop SAP BI dashboards and reports
- Enforce governance and access control
- Implement OAuth authorization and ACL enforcement
- Implement RAG retrieval flows
- Implement data quality remediation
- Index knowledge sources in enterprise search
- Integrate SAP and Salesforce data
- Maintain evaluation suites and golden prompts
- Maintain semantic models and business KPIs
- Orchestrate AI agents and tool use
- Set up AI telemetry and observability
- Test for prompt injection and data leakage
- Track value with adoption and performance metrics
- Validate integrations with JSON Schema
Perks/Benefits
- Employee assistance program
- Employee referral program
- Food vouchers
- Health insurance
- Home-office allowance
- Hybrid working model
- Language training
- LinkedIn Learning access
- Paid annual leave
- Public transportation card
- Training and mentorship programs
Skills/Tech-stack
AI Core | AI Search | Access Control | Access Control Lists | Agent Orchestration | Azure AI | Azure AI Search | BTP Integration | Business Intelligence | Copilot Studio | Data Lineage | Data Management | Data Pipelines | Data Quality | Data cloud | Evaluation Frameworks | Event Streaming | Governance | Human-in-the-loop | JSON Schema | Language Models | Large Language Models | MDM | Master Data | Master Data Management | OAuth | Observability | Power Platform | RAG | SAP AI | SAP AI Core | SAP BDC | SAP BI | SAP BUILD | SAP Datasphere | Salesforce Data Cloud | Salesforce data | Security Trimming | Semantic Modeling | Semantic layers | Telemetry | The Loop | Tool use
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Solutions | AI Solutions Engineer | Data Engineer | Engineer | Integration Engineer | Solutions Engineer
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