Zero Systems, a VC-backed AI startup headquartered in Silicon Valley, California is seeking an experienced Business Process Analyst/Engineer.  

ZERO offers an operating and orchestration system for building, deploying, and maintaining AI applications for large enterprises. Using ZERO, enterprises increase revenue, improve profitability, and enhance worker satisfaction.  

Job Responsibilities 

• Develop complex process maps and related business process artifacts that provide end-to-end view of cross functional practices and LOBs.   

• Identify process health, flag significant process breakdowns and gaps, incomplete handoffs or missing boundary processes. 

• Use analytics and quantitative methods to assess business process flows with a focus on automation and annotation.  

• Client facing, work with customers to validate business process mapping and diagrams. 

• Decompose process into atomic steps end-to-end. 

• Inspect all samples  of customer provided documents and create initial annotations for entities and rules with all data (entities and rules) identified and documented. 

• Work with AI Engineers to validate annotations. 

• Extract additional context as needed from recorded meetings and use for fine-tuning. 

• Provide clarification to Annotators as needed. 

• Work with AI Engineering to use Python scripts to run prompts against several LLMs and document results. Identify the prompts with the best outcomes and results. 

 Key Expectations 

• Business process flow diagrams, maps, etc. 

• Business process decision tree with detailed data elements and identified gaps. 

• Prompt engineering tasks. 

• Initiate the annotation and provide guidelines to the annotation team. 

Role Skills 

• Business process diagramming and documenting expertise. 

• Generative AI knowledge and experience 

• Process engineering (data attributes) and annotation within NLP. 

• Experience with a variety of LLMs. 

• An understanding of core prompt engineering steps. 

• Communication and product development steps. 

• Technical acumen: how business translates into realistic AI skills.