Automate Job Profile Creation with iMocha's Intelligence
Auto-Generated Job Profile
Creating job profiles in iMocha is now faster and more intelligent with the Automatic Job Profile Creation method. This option is ideal when you want to generate a complete, contextual, and market-aligned job profile with minimal input. By simply providing basic details like job profile name, location, experience level, and any optional notes, the platform uses AI to auto-generate a detailed job description, infer required capabilities, recommend role architecture (job role, family, sector), and map relevant skills—all tailored to your organization’s context. Let’s take a closer look at how this works.
iMocha’s Skills Intelligence platform offers three flexible methods to create job profiles:
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Automatic Creation – fully AI-generated
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AI-Assisted Creation – a mix of user input and system intelligence
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Manual Creation – built from scratch with full customization
In this article, let's explore the first method which is designed to suit different levels of control, effort, and speed depending on your workflow needs.
This method is best suited for HR, TA, or L&D users who want to create a complete job profile quickly with minimal input.
How it Works:
Once you have chosen the method you wish to proceed with, you’ll be prompted to enter a few basic inputs. Based on these inputs, iMocha generates an end-to-end, market-aligned job profile that is contextualized to your industry and organization.
Below is a step-by-step process:
User Inputs - System Processing:
Job Profile Name
Location
Years of Experience
Any Additional Details (Optional)
The generated job profile is saved as a draft, allowing you to review and make edits before finalizing.
Review:
Once the job profile is generated, you’ll be directed to a preview screen where you can review all the AI-generated components. This includes the Job Description, Capabilities, Skills, and the inferred Role Architecture (Job Role, Job Family, and Sector). Each section is fully editable, allowing you to add missing skills or capabilities, modify role details, or adjust mappings as needed. Take this opportunity to ensure the profile accurately reflects the requirements of your organization before saving it.
Job Description Generation:
The system
generates a detailed, market-relevant job description using internal data
models and benchmarking.
Capability and Skills Inference:
It identifies and recommends skills required to perform the role effectively.
You can also generate skills using AI or Add Skills with priority and
proficiency.
Capabilities are also intelligently mapped to the relevant skills for a
complete and structured profile.
Role Architecture Inference:
Once the system has generated or analyzed the job description, it automatically
identifies the structure of the role through a process called Role
Architecture Inference.
This includes:
- Job Role (Title + Description)
- Job Family (Cluster of related roles)
- Sector (Industry vertical)
Canonicalization:
After inferring the role structure, the system checks against your organization’s Job Role Master repository to avoid duplicates and maintain consistency:
- If the job role, job family, or sector already exists, the system simply links your new profile to these existing entries.
- If they don’t exist, the system automatically creates and saves them to the master repository so they can be reused in the future
Skills Inference:
Skills are inferred using the O*NET framework, with optional tags like
proficiency level and priority.
Skill-to-Capability Mapping:
Each skill is mapped to relevant capabilities either from existing mappings or
newly generated ones.
Review and Submit
You can preview, edit, and approve every component (JD, Role, Capabilities, Skills).
Once approved, the profile is saved and becomes reusable for future roles.
