Platform Architect

TVS Motor Company; Karnataka; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

TVS Motor Company is seeking a Senior AI Architect to define the enterprise AI architecture and blueprint across business clusters. You will translate priorities into production-ready AI solutions, establish MLOps standards and mentor senior engineers for delivery excellence.

The role involves hands-on reviews, architectural governance, and enabling scalable AI initiatives across automotive domains such as sales, service and manufacturing.

Qualifications

• Master’s degree in CS/AI/DS or related field.
• 15+ years in statistics, ML, AI/ML solution design and enterprise architecture.
• Experience delivering AI at scale in product, automotive or manufacturing environments.

Responsibilities

• Define enterprise AI architecture blueprint for scalable, secure platforms.
• Translate business priorities into production-ready AI solutions.
• Establish standards for MLOps, model hosting, observability and governance.
• Mentor senior AI engineers on architecture and delivery.
• Provide hands-on reviews and production readiness support for AI initiatives.

Skills

AI architecture

Solution design

MLOps

Python

SQL

Spark

Cloud & APIs

Leadership

Mentoring

Education

Master’s degree in CS/AI/DS

Tools

Python

SQL

Spark

Job description

TVS Motor Company is a reputed two andthree-wheeler manufacturer globally, championing progress through SustainableMobility with four state-of-the-art manufacturing facilities in Hosur, Mysuruand Nalagarh in India and Karawang in Indonesia. Rooted in our 100-year legacyof Trust, Value, and Passion for Customers and Exactness, we take pride inmaking internationally aspirational products of the highest quality throughinnovative and sustainable processes. We are the only two-wheeler company tohave received the prestigious Deming Prize. Our products lead in theirrespective categories in the J.D. Power IQS and APEAL surveys. We have beenranked No. 1 Company in /the J.D. Power Customer Service Satisfaction Surveyfor consecutive four years. Our group company Norton Motorcycles, based in theUnited Kingdom, is one of the most emotive motorcycle brands in the world. Oursubsidiaries in the personal e-mobility space, Swiss E-Mobility Group (SEMG)and EGO Movement have a leading position in the e-bike market in Switzerland.TVS Motor Company endeavours to deliver the most superior customer experienceacross 80 countries in which we operate.

Key Responsibilities

• AI Architecture Strategy: Define TVS Motor’s enterprise AI architecture blueprint to enable secure, scalable and reusable AI platforms across business clusters.
• Solution Design and Review : Translate business priorities into production-ready AI solution designs and review solution architecture with product, data, engineering, security and business teams.
• AI Governance: Establish standards for MLOps , model hosting, observability, responsible AI, data privacy and lifecycle governance.
• Engineering Mentorship: Mentor senior AI engineers on architecture patterns, engineering excellence and production-grade delivery.
• Hands-on Delivery Support: Provide hands-on architecture reviews, technical problem-solving and production readiness support for critical AI initiatives.

Key Performance Indicators (KPIs)

• Architecture Reuse and Cost Efficiency: Adoption of approved architecture patterns and reusable platform services to reduce duplication and delivery cost.
• Speed to Production: Reduction in cycle time from use-case approval to production deployment through standard designs and reusable components.
• Quality and Reliability: AI solutions meeting agreed standards for reliability, security, observability, responsible AI, privacy and production readiness.
• Engineering Enablement: Improvement in senior AI engineer capability through mentoring, architecture reviews and technical problem-solving support.
• Automotive Process Understanding: Apply AI architecture to sales, service, manufacturing, supply chain, product development and corporate functions.
• Cross-functional Solution Leadership: Influence and a lign business, product, data, engineering, security and operations teams to scale AI solutions from concept to adoption.
• Hands-on Coding and Engineering: Proficiency in Python and modern engineering practices for AI prototyping, code reviews and production support.
• AI Platform Architecture: Design AI/ML platforms, model services, feature pipelines, APIs , MCPs and reusable components for enterprise use , with strong working knowledge of SQL, Spark and structured / unstructured data such as tables, text, voice and video .
• MLOps and Model Lifecycle: Expertise in ML CI/CD, deployment, monitoring, evaluation, versioning, observability and reliability.
• GenAI and Agentic AI: Working knowledge of statistics, ML algorithms, LLMs, RAG, prompt engineering, LLM fine-tuning, agent workflows, evaluation, guardrails and responsible AI.
• Cloud and Integration Architecture: Experience with cloud-native AI services, containers, APIs, event-driven integration, security patterns and enterprise systems.
• Strategic Communication and Influence: Explains complex AI choices clearly, builds alignment and influences senior stakeholders.
• Cross-functional Collaboration: Builds effective relationships across business, product, data, engineering, security and operations teams.
• Structured Problem Solving: Applies analytical thinking, business acumen and sound judgment to resolve architecture and delivery trade-offs.
• Execution Discipline: Drives outcomes with ownership, customer focus, planning discipline and continuous improvement.

E xperience and Education

Education: Master’s degree in Computer Science , Artificial Intelligence, Data Science, Statistics, Machine Learning, Electronics, Information Technology or related engineering disciplines.

Experience: 15+ years across statistics, machine learning, AI/ML solution design, enterprise architecture, software engineering and production-scale AI delivery (Preferably product companies) .

Leadership Exposure:

Experience mentoring senior engineers, influencing business stakeholders and delivering AI solutions in enterprise, automotive or manufacturing environments.