Principal AI Architect - Product and Framework

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.

Responsibilities

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; 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; 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; 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; 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; Mentor AI engineers and developers; Establish best practices in MLOps, AI UI, AI Work, model lifecycle management; Provide architectural guidance across AI initiatives

Requirements

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; Experience embedding AI into enterprise workflows; Understanding of ERP-driven business processes; Ability to translate business requirements into AI system design; Experience building reusable AI components; Knowledge of MLOps and AI monitoring; Experience designing scalable AI architectures; Familiarity with responsible AI and governance; Deep technical curiosity; Strong system thinking; Able to challenge both business and technical teams; Mentorship mindset without formal people management

Nice to have

Experience in Automotive / Mobility / Trade environment

Benefits

Flexible working hours; Continuous learning; Career mobility across functions and regions; Well-being support and employee assistance programs; Attractive compensation including bonus schemes and insurance; Inclusive culture built on respect, collaboration, and empowerment