Principal AI Architect - Product and Framework

💼 Role Overview

We are looking for a Principal AI Architect for Enterprise AI Framework and AI Business Applications, who combines deep hands-on AI engineering expertise with strong business process understanding to design, build, and scale AI products across Mobility Aftermarket.

This is not a research role and not a pure product management role.

You will:

• Architect and build AI applications from scratch
• Define the AI framework and development standards for MA
• Ensure AI solutions are scalable, secure, and production-ready
• Mentor AI engineers across the team
• Translate business logic into robust AI systems

This role will shape how AI applications are developed, implemented and industrialized in MA.

🎯 What you will do (Key Responsibilities)

1. AI Architecture & Framework Ownership

• Define and evolve the AI application architecture for MA.
• Design reusable AI components and frameworks.
• Establish standards for model integration, deployment, monitoring, and scaling.
• Ensure AI systems are production-grade and enterprise-ready.

2. Hands-On AI Development

• Design and build AI-driven applications end-to-end.
• Implement: ML models, LLM-based workflows, APIs and microservices, Orchestration layers
• Design AI Framework, Train models, establish RAG and MCP
• Develop Self-Service and reusable AI agents

This is a hands-on AI Architect role with business background.

3. Business Logic Integration

• Translate MA business processes into AI logic.
• Embed AI into real operational workflows.
• Ensure solutions align with: Order-to-Cash, Customer interaction flows, Trade operations, Business Insight
• Balance AI innovation with business feasibility.

4. AI Product Direction

• Evaluate AI use cases for feasibility and scalability.
• Define technical roadmap for AI framework evolution.
• Guide build-vs-buy decisions.
• Ensure AI initiatives deliver measurable business value.

5. Mentorship & Technical Leadership

• Mentor AI engineers and developers.
• Establish best practices in: MLOps, AI UI, AI Work, Model lifecycle management
• Provide architectural guidance across AI initiatives.

This is a senior individual contributor role with technical leadership with business influence.

👤 What We’re Looking For (Qualifications & Skills)

1. Strong AI Engineering Depth (Mandatory)

• 8–12+ years in AI/ML engineering or applied AI.
• Strong hands-on coding experience (Python mandatory).
• Experience building AI applications from scratch.
• Experience deploying AI solutions into production environments.
• Solid understanding of: ML model lifecycle, LLM integration, API architecture, Microservices, Cloud-native systems

2. Enterprise & Business Understanding (Critical)

• Experience embedding AI into enterprise workflows.
• Understanding of ERP-driven business processes.
• Ability to translate business requirements into AI system design.
• Experience in Automotive / Mobility / Trade environment preferred.
• This is not optional.

3. AI Framework & Platform Thinking (Mandatory)

• Experience building reusable AI components.
• Knowledge of MLOps and AI monitoring.
• Experience designing scalable AI architectures.
• Familiarity with responsible AI and governance.

4. Personal Profile

• Deep technical curiosity.
• Strong system thinking.
• Able to challenge both business and technical teams.
• Mentorship mindset without formal people management.