AI Solutions Engineer
Tasks
- Build and maintain CI/CD pipelines
- Curate and maintain knowledge bases for retrieval systems
- Deliver training and enablement for internal teams
- Design develop test and deploy AI enabled solutions
- Develop AI playbooks and guidance
- Engage stakeholders to define workflows and pain points
- Enhance knowledge capture accessibility and reuse
- Evaluate AI tools and capabilities through pilots
- Handle sensitive data in AI workflows
- Identify and prioritize AI adoption opportunities
- Implement AI specific security controls
- Implement authentication authorization and data access controls
- Monitor deployed solutions and improve continuously
- Support client training workshops and enablement
Perks/Benefits
- 401k matching
- Community involvement projects
- Health insurance employer paid
- Paid Holidays
- Paid sick time
- Paid vacation
- Personal time
- Relocation assistance
- Tuition reimbursement
Skills/Tech-stack
AWS | Access Control | App Service | Application Insights | Authentication | Authorization | Azure | Azure App | Azure App Service | Azure Container | Azure Container Apps | Azure Functions | CI/CD | Container Apps | Context engineering | Data Engineering | Data Exfiltration Prevention | Data Quality | Data exfiltration | Docker | Embeddings | Entra ID | Evaluation | Exfiltration Prevention | GCP | Incident Response | Infrastructure as Code | JavaScript | Key Vault | Kubernetes | Observability | Output Integrity | PII handling | Prompt engineering | Prompt injection | Prompt injection mitigation | Python | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | Tenant Isolation | Terraform | Vector Databases | Vector Search | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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