Fractal.ai - Principal AI Architect - Automotive & Electric Vehicle Ecosystem

Role Overview :

We are seeking an experienced Principal AI Architect to lead large-scale AI and Generative AI transformation initiatives across the Automotive and Electric Vehicle (EV) ecosystem. The ideal candidate will drive enterprise AI strategy, oversee end-to-end program delivery, and enable AI adoption across software-defined vehicles, EV battery optimization, ADAS, connected mobility platforms, and customer experience. This leadership role requires a blend of AI expertise, enterprise architecture, program governance, stakeholder management, and deep domain knowledge in automotive technologies.

Key Responsibilities :

• Define and execute enterprise AI and Generative AI strategies across automotive and EV programs.

• Lead end-to-end AI program planning, execution, governance, and business value realization.

• Translate enterprise AI architecture roadmaps into structured implementation plans with clear milestones and measurable outcomes.

• Establish robust program governance, delivery dashboards, risk management frameworks, and executive reporting.

• Drive AI initiatives across Software Defined Vehicles (SDV), ADAS, connected vehicles, machine vision, sensor analytics, routing optimization, and conversational AI.

• Lead AI-driven EV battery intelligence programs, including :

• Battery performance modelling

• State of Charge (SoC) optimization

• State of Health (SoH) prediction

• Battery degradation forecasting

• Energy consumption and range optimization

• Collaborate with engineering, architecture, product, and business teams to ensure seamless program execution.

• Drive AI-powered customer experience initiatives across vehicle, digital, mobile, service, and post-sales journeys.

• Define, monitor, and improve customer experience metrics such as NPS, CSAT, and CES using AI-driven insights.

• Serve as the primary interface for executive leadership, including VP and C-suite stakeholders.

• Present program progress, business impact, and AI adoption strategies to senior leadership and executive forums.

• Drive cross-functional collaboration, capability development, and organizational AI adoption.

• Champion Responsible AI practices, data governance, privacy, and regulatory compliance.

• Stay updated on emerging technologies, including Generative AI, Agentic AI, LLMs, AI-assisted SDLC, and intelligent automation.

Required Skills & Expertise :

• 18+ years of experience in Automotive, Mobility, or Electric Vehicle industries.

• Proven leadership in delivering enterprise-scale AI and Generative AI transformation programs.

• Strong understanding of Software Defined Vehicles (SDV) and Connected Vehicle ecosystems.

Hands-on knowledge of :

• ADAS and Intelligent Driving Systems

• Machine Vision

• Sensor Fusion

• CAN, Radar, LiDAR, Camera, IMU, and V2X data analytics

• EV battery management systems

• Deep Learning applications in automotive

• AI-driven routing and optimization

• Conversational AI and Voice Assistants

• Cloud, Edge AI, and connected platforms

• Strong experience with enterprise AI architecture and AI program governance.

• Excellent stakeholder management and executive communication skills.

• Proven ability to lead cross-functional global teams and drive strategic business outcomes.

• Strong analytical, problem-solving, and decision-making capabilities.

Preferred Qualifications :

• Experience leading AI transformation programs for global automotive OEMs or mobility organizations.

• Knowledge of Generative AI, Agentic AI, Large Language Models (LLMs), and AI-enabled software engineering.

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

• Understanding of Responsible AI frameworks, security, privacy, and AI governance.