Applied AI Architect, G&A
Tasks
- Build custom tools and prompts
- Coach teams to self sufficiency
- Conduct stakeholder research
- Create prioritized backlog of AI opportunities
- Design and build AI agents and automations
- Design autonomous multi-agent workflows
- Document tools and playbooks
- Embed with business functions
- Evaluate agent output quality
- Implement retrieval logic
- Map workflow friction and intelligence gaps
- Monitor adoption and diagnose output failures
- Rotate between corporate functions
- Run enablement and discovery
- Share wins and build momentum
- Transition durable agents into platform layer
- Tune agent workflows continuously
Perks/Benefits
- Equity and opportunity focus
- Impact-driven work
- Professional growth
- Team collaboration
- Work-life harmony
Skills/Tech-stack
APIs | Agentic Workflows | Artificial Intelligence | Automation | Data workflows | Machine Learning | Output Evaluation | Prompt engineering | Python | Retrieval-Augmented Generation | Stakeholder research | Systems Integration | Tool Development | Workflow automation | Workflow design
Education
N/A
Roles
Regions
Countries
States
Cities
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