Engineering Efficiency Facilitation -AI Generalist

Maruti Suzuki India Ltd.; Gurugram District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Maruti Suzuki India Ltd. is seeking an Engineering Efficiency Facilitation - AI Generalist to lead Gen‑AI design and integration across platforms. The role focuses on enhancing engineering efficiency through digitalization solutions, data modeling, and advanced AI techniques.

You will collaborate with stakeholders, translate business needs into technical requirements, and monitor the impact on KPIs while overseeing AI deployments and continuous model improvement.

Qualifications

• Strong analytical skills to interpret complex data.
• Creative problem-solving abilities.
• Attention to data accuracy and model reliability.
• Excellent communication with stakeholders.
• Ability to work cross-functionally across teams.

Responsibilities

• Lead the design and development of Gen‑AI solutions, integrating them with existing platforms to deliver new analytical capabilities.
• Support department in developing digitalization solutions to enhance engineering efficiency.
• Collaborate with business stakeholders to translate needs into technical requirements.
• Monitor and measure the impact of digitalization efforts on operational KPIs.
• Design and implement data models, including semantic layers and knowledge graphs, for clear data relationships.
• Oversee deployment of AI-based products and solutions.
• Develop and implement advanced prompt engineering strategies and Agentic RAG systems for accurate, context-aware responses.
• Monitor and evaluate model performance and drive continuous improvement.
• Refine models and workflows based on feedback and performance data.
• Design AI-driven frameworks for supply chain optimization, risk mitigation, and sustainability.

Skills

Analytical Thinking

Problem-Solving

Attention to Detail

Communication

Collaboration

Adaptability

Curiosity

Time Management

Job description

Engineering Efficiency Facilitation - AI Generalist

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Role

1. Lead the design and development of Gen‑AI solutions, integrating them with existing platforms to deliver new analytical capabilities.

2. Support dept. in developing digitalization solutions to enhance engineering efficiency.

Responsibilities

Business & Technical Alignment

• Collaborate with business stakeholders to translate business needs into technical requirements.
• Monitor and measure the impact of digitalization efforts on operational KPIs.
• Design and implement robust data models, including semantic layers and knowledge graphs, to establish clear relationships between structured and unstructured data.

AI Development & Deployment

• Oversee the deployment of AI-based products and solutions.
• Design and develop Agentic AI systems to enable autonomous decision‑making tasks.
• Develop and implement advanced prompt engineering strategies and Agentic RAG systems for accurate, context‑aware responses from Gen‑AI models.
• Monitor and evaluate model performance, ensuring continuous improvement in output quality, relevance, and user experience.
• Continuously refine models and workflows based on feedback and performance data.

Strategic AI Frameworks

• Design long‑term, AI‑driven frameworks for supply chain optimization, risk mitigation, and sustainability efforts.
• Create comprehensive reports and visualize data using plots, heat maps, and other advanced visualization techniques.

Technical / Functional

Other: Hands on experience with automotive datasets

Behavioral

• Analytical Thinking: Strong analytical skills to interpret complex data and derive actionable insights.
• Problem‑Solving: Ability to approach problems creatively and develop innovative solutions.
• Attention to Detail: Meticulous attention to detail to ensure data accuracy and model reliability.
• Communication: Excellent communication skills to convey technical information to non‑technical stakeholders.
• Collaboration: Strong team player with the ability to work collaboratively in a cross‑functional environment.
• Adaptability: Flexibility to adapt to changing business needs and evolving technologies.
• Curiosity: A proactive learner with a curiosity to explore new technologies and methodologies.
• Time Management: Effective time management skills to handle multiple projects and meet deadlines.