AI Solutions Engineer
Tasks
- Apply responsible AI practices across the data lifecycle
- Build data pipelines and integrations to production
- Define AI evaluation criteria
- Design AI enabled components for production solutions
- Establish AI assisted development practices and quality standards
- Ground AI capabilities in enterprise data and business rules
- Integrate AI capabilities through governed interfaces
- Operate AI enabled capabilities in production
- Run discovery with business stakeholders to identify AI use cases
- Select AI models and integration patterns
- Verify AI output accuracy reliability and safety
Perks/Benefits
- 401k match
- Dental insurance
- Disability insurance
- Medical insurance
- Paid parental leave
- Pay for performance bonus
- Profit sharing
- Scholarships
- Stock program
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
AI Foundry | AI Services | APIs | Agent Based Workflows | Agent-based | Azure AI | Azure AI Foundry | Azure AI Services | C# | Data Engineering | Data Pipelines | Enterprise Architecture | Java | JavaScript | LLM | Managed Identity | Model Evaluation | Prompt engineering | Python | Retrieval-Augmented Generation | TypeScript
Roles
AI | AI Solutions | AI Solutions Engineer | AI/ML Engineer | Engineer | ML Engineer | Solutions Engineer
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