Enterprise Technology - Applied AI Engineer
Tasks
- Automate workflows with AI
- Build safe AI prototypes
- Coach stakeholders on responsible AI
- Create evaluation frameworks
- Create prompt guidance and playbooks
- Deliver production-ready AI solutions
- Design agent based patterns
- Develop AI-powered business tools
- Evaluate AI accuracy and risk
- Facilitate discovery workshops
- Identify practical AI opportunities
- Implement retrieval-augmented generation
- Integrate data pipelines
- Map workflows and pain points
- Translate AI capabilities into recommendations
Perks/Benefits
Skills/Tech-stack
APIs | Agent systems | Artificial Intelligence | Automation | Azure | Bitbucket | DBT | Data Warehousing | Evaluation | GitHub | LLM | Machine Learning | Model Risk Management | Model risk | PostgreSQL | Python | Retrieval-Augmented Generation | Risk Assessment | Risk Management | SQL | Snowflake | Version control | Workflow automation
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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