AI Engineer
Tasks
- Build and maintain vendor integration architecture and requirements
- Collaborate with stakeholders to deliver AI powered solutions
- Communicate new features platform updates and best practices
- Connect AI platforms with existing enterprise systems
- Create playbooks and reference materials for AI adoption
- Deliver AI training and enablement for staff
- Design build and deploy AI applications and workflows
- Develop and maintain documentation for code and application infrastructure
- Ensure responsible secure and compliant use of AI tools
- Evaluate onboard and manage AI platforms and third party solutions
- Execute software development lifecycle requirements design coding testing deployment
- Integrate AI platforms with enterprise technology stack
- Maintain AI governance frameworks usage policies and standards
- Manage hosting deployments and performance of live applications
- Mentor teammates and raise technical standards
- Optimize applications for performance reliability and scalability
- Partner with IT on infrastructure security and architecture decisions
- Take proof of concept builds to production
Perks/Benefits
- N/A
Skills/Tech-stack
AI orchestration | API | API Keys | AWS | Azure | CI/CD | Cloud deployment | Cloud platform | Debugging | Google Cloud | Google Cloud Platform | Infrastructure as Code | JavaScript | LLM | OAuth | Python | REST APIs | SSO | Secure Coding | Source Control | Testing | Tool-Calling | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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