Applied AI Developer
Tasks
- Collaborate with IT and cybersecurity teams on AI architecture and lifecycle management
- Create metrics and KPIs for AI usage
- Create training materials and deliver training sessions
- Design develop and maintain AI agents and applications
- Develop and maintain AI tool documentation and usage guidelines
- Ensure AI solutions meet security privacy and compliance requirements
- Evaluate and recommend AI platforms services and vendors
- Implement AI guardrails including data access controls and usage policies
- Integrate AI solutions with internal systems data sources and workflows
- Monitor AI tools for accuracy reliability bias and unintended behavior
- Promote responsible AI adoption and change management
- Prototype test deploy and iterate AI tools
- Provide user guidance and support for AI tools
- Research and evaluate emerging AI technologies models frameworks and tools
- Track analyze and forecast AI tool and platform costs
Perks/Benefits
- Company events
- Employee recognition
- Flexible hours
- Free onsite parking
- Onsite fitness center
- Onsite transit accessible
- Remote work possibility
- Training and documentation support
- Vacation leave
- Wellness program
Skills/Tech-stack
AI Agents | APIs | Artificial Intelligence | Cloud Computing | Cost Management | Data Privacy | Data-driven | Data-driven workflows | Enterprise systems | Key Performance Indicators | Language Models | Language Processing | Large Language Models | Machine Learning | Metrics | Model Integration | Natural Language | Natural Language Processing | Performance indicators | Prompt engineering | Security
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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