Specialist Generative AI

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What we offer:

Group Summary:

Job title:

Specialist Gen AI

Job Introduction:

Magna’s powertrain group is an operating unit of Magna International and a long-term premier supplier for the global automotive industry with full capabilities in game-changing powertrain design, development, testing and manufacturing.

As one of the world’s largest suppliers of powertrain solutions for passenger cars and light commercial vehicles, we have a unique market position. As a GenAI Specialist  in Magna Powertrain, you will be at the forefront of integrating generative AI technologies into our product development workflows. You are working in a global Gen-AI project team with members in India, EU and North America. You’ll collaborate with cross-functional teams to develop intelligent tools, automate engineering tasks, and accelerate innovation in powertrain design and validation.

Major Responsibilities:

• Lead the architecture of LLM-powered applications and enterprise copilots
• You will collaborate with stakeholders to clarify the objectives of each AI use case and create detailed user stories
• You will develop a functional architecture, select appropriate prompting techniques or agent frameworks, implement the solution, and establish a testing pipeline using ground truth data for evaluation
• You will document the process and regularly present project progress to ensure transparency and alignment with stakeholders
• You will drive adoption of reusable AI services and accelerator frameworks
• Mentor AI and Data Engineers
• Conduct architecture reviews and design workshops
• Guide teams on best practices for AI application development. 

Skills and competencies:

Preferred Qualifications

• Proficiency in Databricks, cloud computing, and the Azure environment
• Proficiency with libraries such as LangChain and OpenAI
• Experience with Model Context Protocol (MCP) and Multi-Agent Framkeworks
• Experience with open-source LLMs (e.g., Llama) and training smaller models
• Product or project management experience

Bonus Qualifications

• Knowledge of Azure Power Apps and Web Apps
• Experience in requirements management and test case development according to Automotive SPICE

Educational Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
• Professional experience in AI/GenAI and LLM implementation using Python Libraries
• Hands-on experiences in prompt engineering techniques (Few-Shot, Chain of Thought prompting, RAG), embeddings, and similarity search)
• Machine Learning and Natural Language Processing (NLP)

Work experience:

6 to 8 years of professional experience working in the relevant field.

Health, Safety & Environment (HSE):

Maintains safe work practices, complies with Magna H&S requirements, and participates in training and hazard reporting.

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.