AI-native Job Architecture
Every role gets the same standard: criteria, level expectations, and AI readiness. Approved once by HR, then used in capability mapping, development, redeployment and hiring.
Request demoSolutions Engineer
Medior · Pre-sales & Solutions
What you already have
Solutions Engineer · job description v4
What the standard defines
Reused across hiring, development and redeployment
The problem
Roles are defined differently across teams, countries, and business units.
Most job descriptions lack structured responsibilities, skills, capabilities, and level-specific expectations.
Without consistent role standards, skills mapping, development, redeployment, and hiring all start from weak data.
How it works
Talentpilot turns your existing roles into governed role standards enriched with company context, external occupational data, level-specific expectations, and structured definitions of AI readiness, role criteria, and competencies.
What you have today
Talentpilot enriches and structures it
Solutions Engineer
One structure, consistent across every role family
AI readiness
Role criteria
Competencies
Company context
Enterprise deals in regulated industries · works alongside Delivery from week one
Import job descriptions, role families, levels, and internal standards.
Talentpilot structures each role into AI readiness, role criteria, competencies, and level-specific expectations.
HR validates each standard with the business before it becomes the reference point.
Use the approved standard consistently for capability mapping, development, redeployment, and hiring.
What you get
Every role follows the same structure and level of detail.
Know what each role is actually accountable for.
Define what people need to know and be able to do.
Hiring, development, redeployment, and skills mapping all use the same standards.
Enterprise Control & Governance
HR and business owners can validate standards before they are applied.
Support differences across functions, geographies, and business units.
Maintain consistency without forcing every role into the same template.
It is built for roles in which AI is changing how work gets done. Talentpilot helps companies define roles around the tasks, responsibilities, skills, and capabilities people need when working with AI, rather than relying on job structures designed for a pre-AI organization.
No. Your organization decides how roles should evolve. Talentpilot takes your existing job architecture, job descriptions, and business context and turns them into detailed, consistent role standards that reflect the way you want work to be structured.
Traditional job architecture is often centered on titles, levels, and broad job descriptions. Talentpilot goes deeper into the actual tasks, responsibilities, skills, and capabilities required for each role, creating standards that can directly support workforce decisions.
Yes. You do not need to rebuild everything from scratch. Talentpilot starts with your existing roles, families, levels, job descriptions, and internal standards, then structures and enriches them into a consistent architecture.
Because every talent decision depends on knowing what a role actually requires. The same approved role standards can be used to map workforce capabilities, identify development and reskilling needs, assess redeployment opportunities, and hire external talent.