Value Engineer - Applied AI
Tasks
- Build ROI models and TCO analysis
- Codify repeatable AI deployment patterns
- Create proofs-of-concept and demos
- Deploy production ready AI applications
- Develop AI value cases and scenarios
- Discover customer pain points
- Lead AI readiness discovery sessions
- Maintain ROI calculators and value frameworks
- Map AI value drivers to platform features
- Produce QBR and renewal value realization reports
- Prototype AI workflows and run demos
- Research AI benchmarks and deployment patterns
- Track AI outcomes against value models
- Train teams on value selling methodologies
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Business Process | Business Process Mapping | Enterprise deployment | Financial Modeling | KPI modeling | Language Models | Large Language Models | Machine Learning | Process Mapping | Prompt development | Prompt engineering | Proof of Concept | ROI modeling | Solution consulting | TCO analysis | Value Engineering
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | Value Engineer
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